Unattended optical fiber distribution management method and system

Abstract

The invention relates to the technical field of optical fiber distribution management, in particular to an unattended optical fiber distribution management method and system. The method comprises the following steps: firstly, acquiring key data such as optical power, optical attenuation, signal-to-noise ratio and bit error rate by monitoring an optical fiber line of an optical fiber distribution frame, and carrying out fault monitoring on the optical fiber line based on the key data; the method comprises the following specific steps: judging whether optical power, optical attenuation, signal-to-noise ratio and the like of an optical fiber line are abnormal or not, and calculating a transmission abnormality monitoring value; if the preset threshold value is exceeded, judging that the line has a fault; if the fault occurs, fault analysis is carried out in combination with environmental data to obtain a fault reason; if the line does not have the fault, analyzing the environmental abnormity degree of the distribution frame through the environmental data; and finally, according to a fault analysis result and an environment abnormity degree, carrying out abnormity early warning so as to ensure normal operation and maintenance of the optical fiber distribution frame. The method can effectively improve the reliability of abnormal monitoring of the optical fiber distribution frame and the fault diagnosis efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of optical fiber wiring management, and in particular to an unattended optical fiber wiring management method and system. Background Art

[0002] With the continuous advancement of information technology, fiber-optic communication technology has been widely used in fields such as communications, networking, and data transmission. Fiber-optic networks, due to their high-speed, long-distance, and high-capacity transmission characteristics, have gradually become the core of modern communication systems. However, as the scale of fiber-optic networks continues to expand, the management and maintenance of fiber-optic wiring systems have become increasingly complex and cumbersome. Traditional fiber-optic wiring management methods, which rely heavily on manual operations, face numerous challenges, such as difficult personnel management, high maintenance costs, and low work efficiency.

[0003] To improve the automation and intelligence of fiber optic cabling management, a growing number of technical solutions are exploring the use of computers and IoT technologies to monitor and manage the fiber optic lines associated with fiber optic patching equipment. For example, these technologies utilize devices such as fiber optic sensors, surveillance cameras, and smart terminals to monitor fiber optic lines in real time, collect relevant data, and process and analyze it through a central control system, thereby improving the management efficiency and reliability of the fiber optic network. However, these existing technical solutions still have limitations. Fiber optic line failures are not only caused by the lines themselves, but also by abnormalities in the environment in which the fiber optic patching equipment operates. High vibration amplitudes in the fiber optic patching equipment or abnormalities in humidity and temperature can cause abnormalities in the fiber optic line interfaces, leading to fiber optic line failures. Existing technologies primarily focus on fiber optic lines, ignoring the potential impact of fiber optic patching equipment and its environment on fiber transmission performance, resulting in inefficient fiber optic patching management.

[0004] Therefore, an unattended optical fiber wiring management method and system are proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide an unattended fiber optic wiring management method and system. First, by monitoring the optical fiber lines of the fiber optic distribution frame, key data such as optical power, optical attenuation, signal-to-noise ratio, and bit error rate are obtained, and based on this, fault monitoring of the optical fiber line is performed. The specific steps include determining whether the optical power, optical attenuation, signal-to-noise ratio, etc. of the optical fiber line are abnormal, and calculating the transmission abnormality monitoring value; if the value exceeds the set threshold, it is determined that the line has a fault; if a fault occurs, the fault analysis is also combined with environmental data to determine the cause of the fault; if the line does not have a fault, the degree of environmental abnormality of the distribution frame is analyzed based on the environmental data; finally, based on the fault analysis results and the degree of environmental abnormality, an abnormality warning is issued to ensure the normal operation and maintenance of the fiber optic distribution frame.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] An unattended optical fiber wiring management method, comprising:

[0008] S10, monitoring the optical fiber distribution frame to obtain optical fiber equipment data and optical fiber distribution frame environment data of the optical fiber distribution frame;

[0009] The optical fiber equipment data includes [t dq -t0,t dq ] time period, the optical power data, optical attenuation data, signal-to-noise ratio data, and bit error rate data of each optical fiber line corresponding to the optical fiber distribution frame; dq Indicates the current time; t0 indicates the set time threshold;

[0010] S20, performing fault monitoring on each optical fiber line corresponding to the optical fiber distribution frame based on the optical fiber equipment data; the specific steps include: obtaining an optical power abnormality monitoring value, an optical attenuation abnormality monitoring value, and a signal-to-noise ratio abnormality monitoring value for each optical fiber line corresponding to the optical fiber distribution frame based on the optical fiber equipment data;

[0011] Calculating a transmission abnormality monitoring value of each optical fiber line based on the optical power abnormality monitoring value, the optical attenuation abnormality monitoring value, the signal-to-noise ratio abnormality monitoring value, and the bit error rate of the optical fiber line;

[0012] When the transmission abnormality monitoring value is greater than a set threshold, it is determined that there is a fault in the optical fiber line; otherwise, it is determined that there is no fault in the optical fiber line;

[0013] S30, when there is a fault in the optical fiber line, performing a fault analysis based on the transmission abnormality monitoring value and the optical fiber distribution frame environmental data to obtain a fault analysis result;

[0014] S40: When all the optical fiber lines are fault-free, obtaining the degree of environmental abnormality of the optical fiber distribution frame according to the optical fiber distribution frame environmental data;

[0015] S50: Perform an abnormality warning based on the degree of environmental abnormality and the fault analysis result.

[0016] Furthermore, the optical fiber distribution frame environment data includes: dq -t1,t dq ] time period; t1 represents the time interval from the last fiber optic distribution frame maintenance to the current time.

[0017] Furthermore, the calculation formula of the optical power abnormality monitoring value is:

[0018]

[0019] Among them, glyc i It is represented by the optical power abnormality monitoring value of the i-th optical fiber line; glpj i and glfc i Respectively expressed as [t dq -t0,t0] the optical power mean and optical power variance of the i-th optical fiber line in the time period; glbz i It is expressed as the average standard optical power corresponding to the i-th optical fiber line; ggl max and ggl min Respectively expressed as [t dq where α1, α2, and α3 represent the optical power mean coefficient, optical power variance coefficient, and optical power fluctuation coefficient, respectively; and exp() represents an exponential function with the natural constant e as the base.

[0020] Furthermore, the process of obtaining the transmission abnormality monitoring value includes:

[0021] The transmission abnormality monitoring value is obtained based on the optical power abnormality monitoring value, optical attenuation abnormality monitoring value, signal-to-noise ratio abnormality monitoring value, and bit error rate. The calculation formula is:

[0022] csyc i =exp(β1*max(glyc i -glbz i ,0)+β2*max(sjyc i -sjbz i ,0)

[0023] +β3*max(xzyc i -xzbz i ,0)+β4*max(wml i -wmbz i ,0));

[0024] Among them, csyc i It is expressed as the transmission abnormality monitoring value of the i-th optical fiber line; glyc i 、sjyc i 、xzyc i and wml i They are respectively represented as the optical power abnormality monitoring value, optical attenuation abnormality monitoring value, signal-to-noise ratio abnormality monitoring value and bit error rate corresponding to the i-th optical fiber line; glbz i 、sjbz i 、xzbz i and wmbz iThey represent the optical power standard monitoring value, optical attenuation standard monitoring value, signal-to-noise ratio standard monitoring value and standard bit error rate of the set i-th optical fiber line respectively; β1, β2, β3 and β4 represent the optical power abnormality coefficient, optical attenuation abnormality coefficient, signal-to-noise ratio abnormality coefficient and bit error rate abnormality coefficient respectively.

[0025] Further, performing fault analysis based on the transmission abnormality monitoring value and the optical fiber distribution frame environmental data, and obtaining the fault analysis result includes:

[0026] Based on the transmission abnormality monitoring value, the proportion of optical fiber lines with abnormalities is obtained; based on the optical fiber distribution frame environmental data, the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame environmental temperature abnormality value, the optical fiber distribution frame environmental humidity abnormality value and the optical fiber distribution frame dust abnormality value are obtained;

[0027] The proportion of abnormal optical fiber lines, the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame ambient temperature abnormality value, the optical fiber distribution frame ambient humidity abnormality value and the optical fiber distribution frame dust abnormality value are input into the optical fiber environment nonlinear regression model to obtain the optical fiber distribution frame environmental abnormality probability; when the optical fiber distribution frame environmental abnormality probability is greater than the set probability threshold, the fault analysis result is that the optical fiber distribution frame environment is abnormal; otherwise, the fault analysis result is that the optical fiber distribution frame environment is not abnormal.

[0028] Furthermore, the process of obtaining the optical fiber distribution frame vibration abnormal value includes:

[0029] Filter out abnormal time periods that meet abnormal condition one or abnormal condition two; abnormal condition one is that the vibration frequency is greater than the standard vibration frequency; abnormal condition two is that the vibration amplitude is greater than the standard vibration amplitude; obtain the optical fiber distribution frame vibration abnormality value based on the vibration frequency and vibration amplitude corresponding to each abnormal time period, and the calculation formula is:

[0030]

[0031] Where zdyc represents the vibration abnormality value of the optical fiber distribution frame; M represents the number of vibration abnormality time periods; ycsc j 、zdpl j and zdfd j They are respectively represented as the duration of the j-th abnormal time period and the vibration amplitude of the vibration frequency; χ1 and χ2 are respectively represented as the first vibration abnormality coefficient and the second vibration abnormality coefficient.

[0032] Further, when there is no fault in all the optical fiber lines, obtaining the degree of environmental abnormality of the optical fiber distribution frame according to the optical fiber distribution frame environmental data includes: obtaining, according to the optical fiber distribution frame environmental data, an abnormal value of optical fiber distribution frame vibration, an abnormal value of optical fiber distribution frame environmental temperature, an abnormal value of optical fiber distribution frame environmental humidity, and an abnormal value of optical fiber distribution frame dust;

[0033] The degree of environmental abnormality is obtained according to the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame environment temperature abnormality value, the optical fiber distribution frame environment humidity abnormality value and the optical fiber distribution frame dust abnormality value.

[0034] An unattended optical fiber wiring management system, comprising:

[0035] Optical fiber distribution data acquisition unit: used to monitor the optical fiber distribution frame and obtain the optical fiber equipment data and optical fiber distribution frame environment data of the optical fiber distribution frame;

[0036] Fault monitoring unit: used for performing fault monitoring on each optical fiber line corresponding to the optical fiber distribution frame according to the optical fiber equipment data;

[0037] Fault analysis unit: used for performing fault analysis based on the transmission abnormality monitoring value and the optical fiber distribution frame environmental data when a fault occurs in the optical fiber line, and obtaining the fault analysis result;

[0038] An environmental abnormality degree acquisition unit is configured to identify the environmental abnormality degree of the optical fiber distribution frame according to the optical fiber distribution frame environmental data when no faults occur in the optical fiber lines;

[0039] Abnormal warning unit: used for making abnormal warning according to the abnormal degree of the environment and the fault analysis result.

[0040] Furthermore, the optical fiber wiring data acquisition unit includes: the optical fiber equipment data includes [t dq -t0,t dq ] time period, the optical power data, optical attenuation data, signal-to-noise ratio data, and bit error rate data of each optical fiber line corresponding to the optical fiber distribution frame; dq represents the current time; t0 represents the set time threshold; the fiber optic distribution frame environment data includes [t dq -t1,t dq ] time period; t1 represents the time interval from the last fiber optic distribution frame maintenance to the current time.

[0041] Furthermore, the fault monitoring unit includes: obtaining an optical power abnormality monitoring value, an optical attenuation abnormality monitoring value, and a signal-to-noise ratio abnormality monitoring value of each optical fiber line based on the optical fiber equipment data; calculating a transmission abnormality monitoring value of each optical fiber line based on the optical power abnormality monitoring value, the optical attenuation abnormality monitoring value, the signal-to-noise ratio abnormality monitoring value, and the bit error rate of the optical fiber line;

[0042] When the transmission abnormality monitoring value is greater than a set threshold, it is determined that there is a fault in the optical fiber line; otherwise, it is determined that there is no fault in the optical fiber line.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. The present invention obtains optical power data, optical attenuation data, signal-to-noise ratio data, and bit error rate data for each optical fiber line on an optical fiber distribution frame (ODF). Based on this data, it calculates the transmission anomaly monitoring value for the optical fiber line and identifies whether a fault has occurred in the optical fiber line. After identifying the presence of a fault, it performs a fault analysis based on the ODF environmental data to obtain a fault analysis result. This method can accurately identify whether the cause of the fault is due to an abnormality in the ODF environment based on the status of the optical fiber line and the ODF environmental data, thereby enabling management of the ODF.

[0045] 2. This invention identifies anomalies based on the optical power corresponding to the optical fiber line and obtains optical power anomaly monitoring values ​​based on the optical power mean, variance, and extreme values. By combining multiple statistical features such as mean, variance, and extreme values, the monitoring system can more comprehensively understand the operating status of the optical fiber line. This multi-dimensional monitoring approach can avoid misjudgments that may be caused by a single indicator, thereby improving the management efficiency of optical fiber distribution frames.

[0046] 3. This invention accurately analyzes fiber optic line faults by combining transmission anomaly monitoring values ​​with environmental data from fiber optic distribution frames. Based on these values, the proportion of fiber optic lines experiencing anomalies is calculated. Furthermore, combined with environmental data from the fiber optic distribution frames, including abnormal vibration values, ambient temperature values, humidity values, and dust values, the environmental status of the fiber optic distribution frames is further analyzed. This intelligent, automated approach improves the accuracy of fiber optic line fault diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a flow chart of an unattended optical fiber wiring management method of the present invention;

[0048] Figure 2 This is a structural diagram of an unattended optical fiber wiring management system of the present invention;

[0049] Figure 3This is a flowchart for obtaining fault analysis results provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0051] The present invention provides an unattended optical fiber wiring management method, which is applied to an unattended optical fiber wiring management system. The specific method flow chart and system structure diagram refer to Figure 1 and Figure 2 .

[0052] Example 1

[0053] Reference Figure 1 S10 is applied to an optical fiber wiring data acquisition unit of an unattended optical fiber wiring management system.

[0054] Furthermore, the optical fiber equipment data includes [t dq -t0,t dq ] time period, the optical power data, optical attenuation data, signal-to-noise ratio data, and bit error rate data of each optical fiber line corresponding to the optical fiber distribution frame; dq Indicates the current time; t0 indicates the set time threshold, which can be set to 5 minutes, 10 minutes, etc.; the fiber optic distribution frame environment data includes: [t dq -t1,t dq ] time period; t1 represents the time interval from the last maintenance of the optical fiber distribution frame to the current time;

[0055] The optical fiber lines corresponding to the optical fiber distribution frame include all optical fiber lines between the optical fiber distribution frame that needs to be managed and the optical fiber distribution frame of the next transit station;

[0056] The optical power data is [t dq -t0,t dq ] During the time period, the optical power of the optical fiber output port on the optical fiber distribution frame is collected by the optical power meter at an interval setting time, and the setting time can be set to 0.1s, 0.5s, 1s, etc.;

[0057] The light attenuation data is [t dq -t0,t dq] The optical attenuation value of the optical fiber line from the current optical fiber distribution frame to the optical fiber distribution frame of the next passing station collected at the set time interval within the time period; the set time can be set to 0.1s, 0.5s, 1s, etc.;

[0058] The signal-to-noise ratio data is [t dq -t0,t dq ] The optical attenuation value of the optical fiber line from the current optical fiber distribution frame to the optical fiber distribution frame of the next passing station collected at the set time interval within the time period; the set time can be set to 0.1s, 0.5s, 1s, etc.;

[0059] This step of this embodiment monitors both fiber optic equipment data and environmental data, providing a comprehensive view of the fiber optic distribution frame's operating status. Fiber optic equipment data primarily reflects signal quality, while environmental data addresses the impact of the physical environment (such as temperature, humidity, and vibration) on equipment operation. This dual monitoring approach can more accurately identify the root cause of line faults.

[0060] Reference Figure 1 The S20 is used in a fault monitoring unit of an unattended optical fiber distribution management system.

[0061] Further, refer to Figure 3 , the specific steps include: obtaining the optical power abnormality monitoring value, optical attenuation abnormality monitoring value and signal-to-noise ratio abnormality monitoring value of each optical fiber line corresponding to the optical fiber distribution frame according to the optical fiber equipment data;

[0062] Calculating a transmission abnormality monitoring value of each optical fiber line based on the optical power abnormality monitoring value, the optical attenuation abnormality monitoring value, the signal-to-noise ratio abnormality monitoring value, and the bit error rate of the optical fiber line;

[0063] When the transmission abnormality monitoring value is greater than a set threshold, it is determined that there is a fault in the optical fiber line; otherwise, it is determined that there is no fault in the optical fiber line.

[0064] This step of this embodiment obtains optical power data, optical attenuation data, signal-to-noise ratio data, and bit error rate data for each optical fiber line on the optical fiber distribution frame. Based on this data, the transmission anomaly monitoring value of the optical fiber line is calculated and the presence of an optical fiber line fault is identified. After the fault is identified, a fault analysis is performed based on the optical fiber distribution frame environmental data to obtain a fault analysis result. This method can accurately determine whether the cause of the fault is due to an abnormality in the optical fiber distribution frame environment based on the optical fiber line status and optical fiber distribution frame environmental data, thereby enabling management of the optical fiber distribution frame.

[0065] Furthermore, the calculation formula of the optical power abnormality monitoring value is:

[0066]

[0067] Among them, glyc i It is represented by the optical power abnormality monitoring value of the i-th optical fiber line; glpj i and glfc i Respectively expressed as [t dq -t0,t0] the optical power mean and optical power variance of the i-th optical fiber line in the time period; glbz i It is expressed as the average standard optical power corresponding to the i-th optical fiber line; ggl max and ggl min Respectively expressed as [t dq -t0,t0] the maximum and minimum optical power values ​​of the i-th optical fiber line in the time period; α1, α2 and α3 are respectively expressed as the optical power mean coefficient, optical power variance coefficient and optical power fluctuation coefficient; exp() is expressed as an exponential function with the natural constant e as the base; α1, α2 and α3 are all defaulted to be The specific details can also be changed according to the actual situation.

[0068] This step in this embodiment identifies anomalies based on the optical power corresponding to the optical fiber line and obtains an optical power anomaly monitoring value based on the optical power mean, variance, and extreme values. By combining multiple statistical features such as mean, variance, and extreme values, the monitoring system can gain a more comprehensive understanding of the operating status of the optical fiber line. This multi-dimensional monitoring approach avoids potential misjudgments caused by a single indicator, thereby improving the management efficiency of optical fiber distribution frames.

[0069] Furthermore, the light attenuation abnormality monitoring value is obtained through nonlinear regression based on the mean and variance of the light attenuation data. In this embodiment, a support vector machine is selected to perform nonlinear regression to obtain the light attenuation abnormality monitoring value.

[0070] Furthermore, the abnormal signal-to-noise ratio monitoring value is obtained by nonlinear regression based on the mean and variance of the signal-to-noise ratio data. In this embodiment, a support vector machine is selected to perform nonlinear regression to obtain the abnormal signal-to-noise ratio monitoring value.

[0071] Furthermore, the process of obtaining the transmission abnormality monitoring value includes:

[0072] The transmission abnormality monitoring value is obtained based on the optical power abnormality monitoring value, optical attenuation abnormality monitoring value, signal-to-noise ratio abnormality monitoring value, and bit error rate. The calculation formula is:

[0073] csyc i =exp(β1*max(glyc i -glbz i ,0)+β2*max(sjyc i -sjbz i ,0)

[0074] +β3*max(xzyc i -xzbz i ,0)+β4*max(wml i -wmbz i ,0));

[0075] Among them, csyc i It is expressed as the transmission abnormality monitoring value of the i-th optical fiber line; glyc i 、sjyc i 、xzyc i and wml i They are respectively represented as the optical power abnormality monitoring value, optical attenuation abnormality monitoring value, signal-to-noise ratio abnormality monitoring value and bit error rate corresponding to the i-th optical fiber line; glbz i 、sjbz i 、xzbz i and wmbz i They represent the optical power standard monitoring value, optical attenuation standard monitoring value, signal-to-noise ratio standard monitoring value, and standard bit error rate of the set i-th optical fiber line respectively; β1, β2, β3, and β4 represent the optical power abnormality coefficient, optical attenuation abnormality coefficient, signal-to-noise ratio abnormality coefficient, and bit error rate abnormality coefficient respectively; β1, β2, β3, and β4 all default to 0.25 and can be changed according to actual conditions.

[0076] To verify the effectiveness of the optical fiber line fault identification method provided in this embodiment, this embodiment obtains optical fiber equipment data of five optical fiber distribution frames in different time periods, monitors optical fiber lines for faults, and obtains fault identification accuracy and precision, as shown in Table 1.

[0077] Table 1 Fault identification accuracy and precision

[0078] Optical fiber distribution frame serial number Accuracy Accuracy 1 94.26％ 92.83％ 2 93.79％ 93.70％ 3 93.28％ 93.81％ 4 94.13％ 94.10％ 5 93.55％ 94.05％

[0079] As can be seen from Table 1, the method provided in this embodiment has an accuracy rate of about 94% and a precision rate of about 93% in identifying optical fiber faults, that is, this method can effectively identify optical fiber faults.

[0080] This step of this embodiment integrates multiple key transmission parameters (including optical power anomaly monitoring value, optical attenuation anomaly monitoring value, signal-to-noise ratio anomaly monitoring value, and bit error rate), enabling multi-dimensional monitoring of optical fiber lines. This multi-dimensional monitoring approach can more comprehensively detect line anomalies than monitoring a single parameter.

[0081] Reference Figure 1 The S30 in the embodiment is applied to a fault analysis unit of an unattended optical fiber distribution management system.

[0082] Further, performing fault analysis based on the transmission abnormality monitoring value and the optical fiber distribution frame environmental data, and obtaining the fault analysis result includes:

[0083] Based on the transmission abnormality monitoring value, the proportion of optical fiber lines with abnormalities is obtained; based on the optical fiber distribution frame environmental data, the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame environmental temperature abnormality value, the optical fiber distribution frame environmental humidity abnormality value and the optical fiber distribution frame dust abnormality value are obtained;

[0084] The proportion of abnormal optical fiber lines, the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame ambient temperature abnormality value, the optical fiber distribution frame ambient humidity abnormality value and the optical fiber distribution frame dust abnormality value are input into the optical fiber environment nonlinear regression model to obtain the optical fiber distribution frame environmental abnormality probability; when the optical fiber distribution frame environmental abnormality probability is greater than the set probability threshold, the fault analysis result is that the optical fiber distribution frame environment is abnormal; otherwise, the fault analysis result is that the optical fiber distribution frame environment is not abnormal.

[0085] This step in this embodiment accurately analyzes fiber optic line faults by combining transmission anomaly monitoring values ​​with the environmental data of the fiber optic patch panel. Based on the transmission anomaly monitoring values ​​of the fiber optic lines, the percentage of fiber optic lines experiencing anomalies is calculated. Furthermore, combined with the environmental data of the fiber optic patch panel, including abnormal vibration values, ambient temperature values, humidity values, and dust values, the environmental status of the fiber optic patch panel is further analyzed. This intelligent, automated approach improves the accuracy of fiber optic line fault diagnosis.

[0086] Furthermore, the process of obtaining the optical fiber distribution frame vibration abnormal value includes:

[0087] Filter out abnormal time periods that meet abnormal condition one or abnormal condition two; abnormal condition one is that the vibration frequency is greater than the standard vibration frequency; abnormal condition two is that the vibration amplitude is greater than the standard vibration amplitude; obtain the optical fiber distribution frame vibration abnormality value based on the vibration frequency and vibration amplitude corresponding to each abnormal time period, and the calculation formula is:

[0088]

[0089] Where zdyc represents the vibration abnormality value of the optical fiber distribution frame; M represents the number of vibration abnormality time periods; ycsc j 、zdpl j and zdfd j They represent the duration of the jth abnormal time period and the vibration amplitude of the vibration frequency respectively; χ1 and χ2 represent the first vibration abnormality coefficient and the second vibration abnormality coefficient respectively; χ1 and χ2 are both 0.5 by default, and can be changed according to actual conditions.

[0090] This step in this embodiment clearly distinguishes between normal operation and potential abnormal vibration by screening out abnormal time periods where the vibration frequency is greater than the standard vibration frequency or the vibration amplitude is greater than the standard vibration amplitude. This helps accurately identify abnormalities in the optical fiber distribution frame, preventing minor irrelevant vibrations from being mistakenly identified as faults, thereby improving the accuracy of fault monitoring and reducing false positives and missed alarms.

[0091] Furthermore, the process of obtaining the abnormal value of the ambient temperature of the optical fiber distribution frame includes:

[0092] Filter out abnormal time periods in which the ambient temperature is greater than the standard ambient temperature; obtain the average ambient temperature corresponding to each abnormal time period, and calculate the abnormal value of the optical fiber distribution frame ambient temperature. The calculation formula is:

[0093]

[0094] Among them, wdyc represents the abnormal value of the ambient temperature of the optical fiber distribution frame; Q represents the number of abnormal temperature time periods; wdsc q and wd q They represent the duration and average temperature of the qth temperature anomaly time period respectively; η1 and η2 represent the first temperature anomaly coefficient and the second temperature anomaly coefficient respectively; η1 and η2 are both 0.5 by default and can be changed according to actual conditions.

[0095] Furthermore, the process of obtaining the abnormal value of the optical fiber distribution frame environment humidity and the abnormal value of the optical fiber distribution frame dust can refer to the process of obtaining the abnormal value of the optical fiber distribution frame environment temperature.

[0096] Furthermore, in order to verify the effectiveness of the unattended fiber optic wiring management method provided by this embodiment, this embodiment obtains the fiber optic equipment data and fiber optic distribution frame environmental data of 5 fiber optic distribution frames in different time periods, and performs fault monitoring on the fiber optic line; after identifying the existence of a fault, a fault analysis is performed based on the transmission abnormality monitoring value and the fiber optic distribution frame environmental data to obtain the fault analysis accuracy and precision, please refer to Table 2 for details.

[0097] Table 2 Fault analysis accuracy and precision

[0098] Optical fiber distribution frame serial number Accuracy Accuracy 1 90.35％ 91.39％ 2 89.73％ 91.54％ 3 90.16％ 90.73％ 4 89.61％ 91.10％ 5 89.55％ 90.58％

[0099] Referring to Table 2, it can be seen that the method provided in this embodiment has an accuracy rate of about 90% and a precision rate of about 91% in analyzing optical fiber faults. That is, this method not only has high accuracy in overall classification, but also performs well in the accuracy of fault prediction.

[0100] Reference Figure 1S40 is applied to an environmental abnormality degree acquisition unit of an unattended optical fiber distribution management system.

[0101] Further, when there is no fault in all the optical fiber lines, obtaining the degree of environmental abnormality of the optical fiber distribution frame according to the optical fiber distribution frame environmental data includes: obtaining, according to the optical fiber distribution frame environmental data, an abnormal value of optical fiber distribution frame vibration, an abnormal value of optical fiber distribution frame environmental temperature, an abnormal value of optical fiber distribution frame environmental humidity, and an abnormal value of optical fiber distribution frame dust;

[0102] Based on the fiber optic distribution frame vibration abnormality value, the fiber optic distribution frame ambient temperature abnormality value, the fiber optic distribution frame ambient humidity abnormality value and the fiber optic distribution frame dust abnormality value, a nonlinear regression model is used to obtain the degree of environmental abnormality. In this embodiment, a neural network model is selected for nonlinear regression to obtain the degree of environmental abnormality.

[0103] This step of the present embodiment can identify potential environmental problems in advance by monitoring various environmental factors of the fiber optic distribution frame (including temperature, humidity, vibration and dust). This intelligent environmental anomaly monitoring method can greatly improve the management efficiency, reliability and maintenance effect of the fiber optic distribution frame, and provide important support for the stable operation of the fiber optic network.

[0104] Reference Figure 1 The S50 in the embodiment is applied to an abnormality warning unit of an unattended optical fiber distribution management system.

[0105] Furthermore, when the degree of environmental abnormality is greater than a set abnormality threshold or the fault analysis result shows that the optical fiber distribution frame environment is abnormal, an optical fiber distribution frame abnormality warning is issued.

[0106] Example 2

[0107] S10: Monitor the optical fiber distribution frame to obtain optical fiber equipment data and optical fiber distribution frame environment data of the optical fiber distribution frame.

[0108] Furthermore, the optical fiber equipment data includes [t dq -t0,t dq ] time period, the optical power data, optical attenuation data, signal-to-noise ratio data, and bit error rate data of each optical fiber line corresponding to the optical fiber distribution frame; dq Indicates the current time; t0 indicates the set time threshold, which can be set to 5 minutes, 10 minutes, etc.; the fiber optic distribution frame environment data includes: [t dq -t1,t dq] time period; t1 represents the time interval from the last fiber optic distribution frame maintenance to the current time.

[0109] S20: Perform fault monitoring on each optical fiber line corresponding to the optical fiber distribution frame based on the optical fiber equipment data.

[0110] Furthermore, the specific steps include: obtaining an optical power abnormality monitoring value, an optical attenuation abnormality monitoring value, and a signal-to-noise ratio abnormality monitoring value of each optical fiber line corresponding to the optical fiber distribution frame based on the optical fiber equipment data;

[0111] Calculating a transmission abnormality monitoring value of each optical fiber line based on the optical power abnormality monitoring value, the optical attenuation abnormality monitoring value, the signal-to-noise ratio abnormality monitoring value, and the bit error rate of the optical fiber line;

[0112] When the transmission abnormality monitoring value is greater than a set threshold, it is determined that there is a fault in the optical fiber line; otherwise, it is determined that there is no fault in the optical fiber line.

[0113] Furthermore, the calculation formula of the optical power abnormality monitoring value is:

[0114]

[0115] Among them, glyc i It is represented by the optical power abnormality monitoring value of the i-th optical fiber line; glpj i and glfc i Respectively expressed as [t dq -t0,t0] the optical power mean and optical power variance of the i-th optical fiber line in the time period; glbz i It is expressed as the average standard optical power corresponding to the i-th optical fiber line; ggl max and ggl min Respectively expressed as [t dq where α1, α2, and α3 represent the optical power mean coefficient, optical power variance coefficient, and optical power fluctuation coefficient, respectively; and exp() represents an exponential function with the natural constant e as the base.

[0116] Furthermore, the light attenuation abnormality monitoring value is obtained through nonlinear regression based on the mean and variance of the light attenuation data. In this embodiment, a support vector machine is selected to perform nonlinear regression to obtain the light attenuation abnormality monitoring value.

[0117] Furthermore, the signal-to-noise ratio abnormality monitoring value is obtained through nonlinear regression based on the mean and variance of the light attenuation data. In this embodiment, a support vector machine is selected to perform nonlinear regression to obtain the light attenuation abnormality monitoring value.

[0118] Furthermore, the process of obtaining the transmission abnormality monitoring value includes:

[0119] The transmission abnormality monitoring value is obtained based on the optical power abnormality monitoring value, optical attenuation abnormality monitoring value, signal-to-noise ratio abnormality monitoring value, and bit error rate. The calculation formula is:

[0120]

[0121] Among them, csyc i It is expressed as the transmission abnormality monitoring value of the i-th optical fiber line; glyc i 、sjyc i 、xzyc i and wml i They are respectively represented as the optical power abnormality monitoring value, optical attenuation abnormality monitoring value, signal-to-noise ratio abnormality monitoring value and bit error rate corresponding to the i-th optical fiber line; glbz i 、sjbz i 、xzbz i and wmbz i They represent the optical power standard monitoring value, optical attenuation standard monitoring value, signal-to-noise ratio standard monitoring value and standard bit error rate of the set i-th optical fiber line respectively; β1, β2, β3 and β4 represent the optical power abnormality coefficient, optical attenuation abnormality coefficient, signal-to-noise ratio abnormality coefficient and bit error rate abnormality coefficient respectively.

[0122] S30: When a fault occurs in the optical fiber line, a fault analysis is performed based on the transmission abnormality monitoring value and the optical fiber distribution frame environmental data to obtain a fault analysis result.

[0123] Further, performing fault analysis based on the transmission abnormality monitoring value and the optical fiber distribution frame environmental data, and obtaining the fault analysis result includes:

[0124] Based on the transmission abnormality monitoring value, the proportion of optical fiber lines with abnormalities is obtained; based on the optical fiber distribution frame environmental data, the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame environmental temperature abnormality value, the optical fiber distribution frame environmental humidity abnormality value and the optical fiber distribution frame dust abnormality value are obtained;

[0125] The proportion of abnormal optical fiber lines, the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame ambient temperature abnormality value, the optical fiber distribution frame ambient humidity abnormality value and the optical fiber distribution frame dust abnormality value are input into the optical fiber environment nonlinear regression model to obtain the optical fiber distribution frame environmental abnormality probability; when the optical fiber distribution frame environmental abnormality probability is greater than the set probability threshold, the fault analysis result is that the optical fiber distribution frame environment is abnormal; otherwise, the fault analysis result is that the optical fiber distribution frame environment is not abnormal.

[0126] Furthermore, the process of obtaining the optical fiber distribution frame vibration abnormal value includes:

[0127] Filter out abnormal time periods that meet abnormal condition one or abnormal condition two; abnormal condition one is that the vibration frequency is greater than the standard vibration frequency; abnormal condition two is that the vibration amplitude is greater than the standard vibration amplitude; obtain the optical fiber distribution frame vibration abnormality value based on the vibration frequency and vibration amplitude corresponding to each abnormal time period, and the calculation formula is:

[0128]

[0129] Where zdyc represents the vibration abnormality value of the optical fiber distribution frame; M represents the number of vibration abnormality time periods; ycsc j 、zdpl j and zdfd j They are respectively represented as the duration of the j-th abnormal time period and the vibration amplitude of the vibration frequency; χ1 and χ2 are respectively represented as the first vibration abnormality coefficient and the second vibration abnormality coefficient.

[0130] Furthermore, the process of obtaining the abnormal value of the ambient temperature of the optical fiber distribution frame includes:

[0131] Filter out abnormal time periods in which the ambient temperature is greater than the standard ambient temperature; obtain the average ambient temperature corresponding to each abnormal time period, and calculate the abnormal value of the optical fiber distribution frame ambient temperature. The calculation formula is:

[0132]

[0133] Among them, wdyc represents the abnormal value of the ambient temperature of the optical fiber distribution frame; Q represents the number of abnormal temperature time periods; wdsc q and wd q They represent the duration and average temperature of the qth temperature anomaly time period respectively; η1 and η2 represent the first temperature anomaly coefficient and the second temperature anomaly coefficient respectively.

[0134] Furthermore, the process of obtaining the abnormal value of the optical fiber distribution frame environment humidity and the abnormal value of the optical fiber distribution frame dust can refer to the process of obtaining the abnormal value of the optical fiber distribution frame environment temperature.

[0135] Furthermore, in order to verify the effectiveness of the unattended fiber optic wiring management method provided by this embodiment, this embodiment obtains the fiber optic equipment data and fiber optic wiring frame environmental data of the fiber optic wiring frames in three different areas in different time periods, and performs fault monitoring on the fiber optic lines; after identifying the existence of a fault, a fault analysis is performed based on the transmission abnormality monitoring value and the fiber optic wiring frame environmental data to obtain the fault analysis accuracy and precision, please refer to Table 3 for details.

[0136] Table 3 Fault analysis accuracy and precision

[0137] Area number Accuracy Accuracy 1 90.64％ 92.15％ 2 90.71％ 91.84％ 3 89.93％ 92.34％

[0138] As can be seen from Table 3, the method provided in this embodiment has an accuracy rate of about 90% and a precision rate of about 92% in analyzing optical fiber faults in optical fiber distribution frames in different areas, that is, the method can accurately analyze line faults.

[0139] S40: When all the optical fiber lines have no faults, obtain the degree of environmental abnormality of the optical fiber distribution frame according to the optical fiber distribution frame environmental data.

[0140] Furthermore, based on the optical fiber distribution frame environmental data, an optical fiber distribution frame vibration abnormal value, an optical fiber distribution frame environmental temperature abnormal value, an optical fiber distribution frame environmental humidity abnormal value and an optical fiber distribution frame dust abnormal value are obtained;

[0141] Based on the fiber optic distribution frame vibration abnormality value, the fiber optic distribution frame ambient temperature abnormality value, the fiber optic distribution frame ambient humidity abnormality value and the fiber optic distribution frame dust abnormality value, a nonlinear regression model is used to obtain the degree of environmental abnormality. In this embodiment, a neural network model is selected for nonlinear regression to obtain the degree of environmental abnormality.

[0142] S50: Perform an abnormality warning based on the degree of environmental abnormality and the fault analysis result.

[0143] Furthermore, when the degree of environmental abnormality is greater than a set abnormality threshold or the fault analysis result shows that the optical fiber distribution frame environment is abnormal, an optical fiber distribution frame abnormality warning is issued.

[0144] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An unattended optical fiber wiring management method, characterized in that: include: S10, monitoring the optical fiber distribution frame to obtain optical fiber equipment data and optical fiber distribution frame environment data of the optical fiber distribution frame; The optical fiber equipment data includes [t dq -t0,t dq ] The optical power data, optical attenuation data, signal-to-noise ratio data and bit error rate data of each optical fiber line corresponding to the optical fiber distribution frame within the time period; t dq Represents the current time; t0 represents the set time threshold; S20, performing fault monitoring on each optical fiber line corresponding to the optical fiber distribution frame according to the optical fiber equipment data; The specific steps include: obtaining an optical power abnormality monitoring value, an optical attenuation abnormality monitoring value, and a signal-to-noise ratio abnormality monitoring value of each optical fiber line corresponding to the optical fiber distribution frame according to the optical fiber equipment data; Calculating the transmission abnormality monitoring value of each optical fiber line according to the optical power abnormality monitoring value, the optical attenuation abnormality monitoring value, the signal-to-noise ratio abnormality monitoring value and the bit error rate of the optical fiber line; When the transmission abnormality monitoring value is greater than a set threshold, it is determined that the optical fiber line has a fault; otherwise, it is determined that the optical fiber line does not have a fault; S30, when there is a fault in the optical fiber line, performing a fault analysis based on the transmission abnormality monitoring value and the optical fiber distribution frame environmental data to obtain a fault analysis result; S40, when all the optical fiber lines are free of faults, obtaining the degree of environmental abnormality of the optical fiber distribution frame according to the optical fiber distribution frame environmental data; S50: Perform an abnormality warning based on the degree of environmental abnormality and the fault analysis result.

2. The unattended optical fiber wiring management method according to claim 1, characterized in that: The optical fiber distribution frame environment data includes: dq -t1,t dq ] time period; t1 represents the time interval from the last fiber optic distribution frame maintenance to the current time.

3. The unattended optical fiber wiring management method according to claim 1, characterized in that: The calculation formula of the optical power abnormal monitoring value is: Among them, glyc i It is represented by the optical power abnormal monitoring value of the i-th optical fiber line; glpj i and glfc i Respectively expressed as [t dq -t0,t0] the optical power mean and optical power variance of the ith optical fiber line; glbz i It is represented by the standard optical power mean corresponding to the ith optical fiber line; ggl max and ggl min Respectively expressed as [t dq -t0,t0]; α1, α2 and α3 represent the optical power mean coefficient, optical power variance coefficient and optical power fluctuation coefficient respectively; exp() represents an exponential function with the natural constant e as the base.

4. The unattended optical fiber wiring management method according to claim 1, characterized in that: The process of obtaining the transmission abnormality monitoring value includes: The transmission abnormality monitoring value is obtained based on the optical power abnormality monitoring value, optical attenuation abnormality monitoring value, signal-to-noise ratio abnormality monitoring value and bit error rate. The calculation formula is: Among them, csyc i It is represented as the transmission abnormality monitoring value of the i-th optical fiber line; glyc i 、sjyc i 、xzyc i and wml i They are respectively represented as the optical power abnormal monitoring value, optical attenuation abnormal monitoring value, signal-to-noise ratio abnormal monitoring value and bit error rate corresponding to the i-th optical fiber line; glbz i 、sjbz i 、xzbz i and wmbz i They respectively represent the optical power standard monitoring value, optical attenuation standard monitoring value, signal-to-noise ratio standard monitoring value and standard bit error rate of the set i-th optical fiber line; β1, β2, β3 and β4 respectively represent the optical power abnormality coefficient, optical attenuation abnormality coefficient, signal-to-noise ratio abnormality coefficient and bit error rate abnormality coefficient.

5. The unattended optical fiber wiring management method according to claim 1, characterized in that: Performing fault analysis based on the transmission abnormality monitoring value and the optical fiber distribution frame environmental data, obtaining the fault analysis result includes: According to the transmission abnormality monitoring value, the proportion of optical fiber lines with abnormalities is obtained; according to the optical fiber distribution frame environmental data, the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame environmental temperature abnormality value, the optical fiber distribution frame environmental humidity abnormality value and the optical fiber distribution frame dust abnormality value are obtained; The proportion of abnormal optical fiber lines, the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame ambient temperature abnormality value, the optical fiber distribution frame ambient humidity abnormality value and the optical fiber distribution frame dust abnormality value are input into the optical fiber environment nonlinear regression model to obtain the optical fiber distribution frame environmental abnormality probability; when the optical fiber distribution frame environmental abnormality probability is greater than the set probability threshold, the fault analysis result is that the optical fiber distribution frame environment is abnormal; otherwise, the fault analysis result is that the optical fiber distribution frame environment is not abnormal.

6. The unattended optical fiber wiring management method according to claim 5, characterized in that: The process of obtaining the abnormal value of vibration of the optical fiber distribution frame includes: Filter out abnormal time periods that meet abnormal condition one or abnormal condition two; the abnormal condition one is that the vibration frequency is greater than the standard vibration frequency; the abnormal condition two is that the vibration amplitude is greater than the standard vibration amplitude; according to the vibration frequency and vibration amplitude corresponding to each abnormal time period, obtain the vibration abnormal value of the optical fiber distribution frame, and the calculation formula is: Where zdyc represents the vibration abnormality value of the optical fiber distribution frame; M represents the number of vibration abnormal time periods; ycsc j 、zdpl j and zdfd j They respectively represent the duration of the j-th abnormal time period and the vibration amplitude of the vibration frequency; χ1 and χ2 respectively represent the first vibration abnormality coefficient and the second vibration abnormality coefficient.

7. The unattended optical fiber wiring management method according to claim 1, characterized in that: When all the optical fiber lines are fault-free, obtaining the degree of environmental abnormality of the optical fiber distribution frame according to the optical fiber distribution frame environmental data includes: obtaining optical fiber distribution frame vibration abnormality value, optical fiber distribution frame environmental temperature abnormality value, optical fiber distribution frame environmental humidity abnormality value and optical fiber distribution frame dust abnormality value according to the optical fiber distribution frame environmental data; The degree of environmental abnormality is obtained according to the optical fiber distribution frame vibration abnormality value, the optical fiber distribution frame environment temperature abnormality value, the optical fiber distribution frame environment humidity abnormality value and the optical fiber distribution frame dust abnormality value.

8. An unattended optical fiber wiring management system, characterized in that: include: Optical fiber distribution data acquisition unit: used to monitor the optical fiber distribution frame and obtain the optical fiber equipment data and optical fiber distribution frame environment data of the optical fiber distribution frame; A fault monitoring unit is used to perform fault monitoring on each optical fiber line corresponding to the optical fiber distribution frame according to the optical fiber equipment data; Fault analysis unit: used for performing fault analysis based on the transmission abnormality monitoring value and the optical fiber distribution frame environmental data to obtain the fault analysis result when there is a fault in the optical fiber line; An environmental abnormality degree acquisition unit is used to identify the environmental abnormality degree of the optical fiber distribution frame according to the optical fiber distribution frame environmental data when there is no fault in the optical fiber line; Abnormal warning unit: used for making abnormal warning according to the abnormal degree of the environment and the fault analysis result.

9. The unattended optical fiber wiring management system according to claim 8, characterized in that: The optical fiber wiring data acquisition unit includes: the optical fiber equipment data includes [t dq -t0,t dq ] the optical power data, optical attenuation data, signal-to-noise ratio data and bit error rate data of each optical fiber line corresponding to the optical fiber distribution frame within the time period; dq represents the current time; t0 represents the set time threshold; the fiber distribution frame environment data includes [t dq -t1,t dq ] time period; t1 represents the time interval from the last fiber optic distribution frame maintenance to the current time.

10. The unattended optical fiber wiring management system according to claim 8, characterized in that: The fault monitoring unit comprises: obtaining an optical power abnormality monitoring value, an optical attenuation abnormality monitoring value and a signal-to-noise ratio abnormality monitoring value of each optical fiber line according to the optical fiber equipment data; calculating a transmission abnormality monitoring value of each optical fiber line according to the optical power abnormality monitoring value, the optical attenuation abnormality monitoring value, the signal-to-noise ratio abnormality monitoring value and a bit error rate of the optical fiber line; When the transmission abnormality monitoring value is greater than a set threshold, it is determined that there is a fault in the optical fiber line; otherwise, it is determined that there is no fault in the optical fiber line.

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