A method for managing the operation and maintenance process of a fault uploaded optical cable distribution box

Abstract

The present application relates to the technical field of optical communication network operation and management, and particularly relates to a kind of optical cable distribution box operation process management method of fault upload, solve the technical problem of low efficiency and quality of prior art operation and management.The method comprises: obtaining the optical power data sequence of each port of target distribution box in the operation order execution cycle;The optical power data sequence of each port is double-channel filtering processing, and the fluctuation trend sequence and the reference trend sequence of each port are obtained;Fluctuation trend sequence is used to characterize the optical power change characteristics of the corresponding port caused by mechanical disturbance;Based on the fluctuation trend sequence of each port and the spatial position relationship of each port, spatial disturbance analysis is carried out, and the disturbance dissipation index is determined;The disturbance dissipation index is used to characterize the dissipation degree of optical cable signal disturbance caused by operation;According to the disturbance dissipation index, and the reference trend sequence of each port, operation order execution acceptance detection is carried out.

Description

Technical Field

[0001] This invention relates to the field of optical communication network operation and maintenance management technology, specifically to a method for managing the operation and maintenance process of optical cable distribution boxes with fault uploading. Background Technology

[0002] Fiber optic distribution boxes, as the end-point distribution nodes of passive optical networks (ODNs), are critical infrastructure in fiber-to-the-home (FTTH) projects. In current installation and maintenance practices, distribution boxes typically house high-density fiber optic patch cords, which are bundled together using cable ties or cable management rings for neat management and aesthetically pleasing cable routing. As the scale of fiber optic access networks continues to expand, the workload of maintaining distribution boxes has increased dramatically, with frequent routine operations such as account opening and installation, fault repair, and port relocation.

[0003] In existing technologies, the management of optical fiber distribution box maintenance processes for fault reporting mainly relies on optical link continuity testing after maintenance is completed, or on optical power attenuation monitoring based on fixed thresholds to judge the quality of maintenance work. However, this management method has significant limitations in monitoring the maintenance process. It cannot effectively identify different types of disturbances to the optical fiber during maintenance operations, nor can it quantify the degree of standardization of maintenance operations. This results in the inability to promptly detect and intercept potential optical link faults generated during maintenance, leading not only to a high false alarm rate in maintenance quality detection, but also a high risk of triggering subsequent secondary optical link faults. Consequently, the efficiency and quality of optical fiber distribution box maintenance management are low, failing to meet the actual needs of refined maintenance in passive optical networks. Summary of the Invention

[0004] To address the technical problems of low efficiency and quality in existing operation and maintenance management technologies, the present invention aims to provide a method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading. The specific technical solution adopted is as follows: This application provides a method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading, including: Obtain the optical power data sequence of each port of the target fiber distribution box within the operation and maintenance work order execution cycle; the optical power data sequence is used to characterize the optical power change of the corresponding port within the operation and maintenance work order execution cycle; The optical power data sequences of each port are subjected to dual-channel filtering to obtain the fluctuation trend sequence and the baseline trend sequence for each port. The fluctuation trend sequence is used to characterize the optical power change characteristics of the corresponding port caused by mechanical disturbance. The baseline trend sequence is used to characterize the static power attenuation characteristics of the optical link of the corresponding port. Spatial disturbance analysis is performed based on the fluctuation trend sequence of each port and the spatial position relationship of each port to determine the disturbance dissipation index; the disturbance dissipation index is used to characterize the degree of dissipation of the disturbance to the optical cable signal caused by operation and maintenance. The operation and maintenance work order execution acceptance test is carried out based on the disturbance dissipation index and the baseline trend sequence of each port.

[0005] In one possible implementation, the method includes: Obtain the physical mapping map of the fiber distribution box panel of the target fiber distribution box; the physical mapping map of the fiber distribution box panel is used to characterize the two-dimensional geometric coordinates of each port on the fiber distribution box panel; In response to the status change of the maintenance work order to construction start, asynchronous data acquisition is performed on each port in the target fiber distribution box to obtain the original optical power sampling data of each port within the maintenance work order execution cycle; The original optical power sampling data of each port within the execution cycle of the maintenance work order are time-domain aligned to generate the optical power data sequence of each port.

[0006] In one possible implementation, the method includes: The optical power data sequences of each port are processed by a digital high-pass filter to obtain the fluctuation trend sequence of each port, and the optical power data sequences of each port are processed by a moving average filtering algorithm to obtain the baseline trend sequence of each port.

[0007] In one possible implementation, the method includes: The fluctuation energy of each port is determined based on the fluctuation trend sequence of each port; the fluctuation energy is used to characterize the intensity of optical power fluctuation caused by mechanical disturbance during the operation and maintenance work order execution cycle of the corresponding port. Spatial disturbance analysis is performed based on the fluctuation trend sequence, fluctuation energy, and spatial location relationship of each port to determine the disturbance dissipation index.

[0008] In one possible implementation, the method includes: A reference port is determined from each port based on the fluctuation energy of each port and the spatial relationship between each port; wherein, the fluctuation trend sequence of the reference port is a reference fluctuation trend sequence; The noise floor threshold is determined based on the fluctuation energy of each port, and the set of disturbed ports is determined from each port based on the noise floor threshold. Spatial disturbance analysis is performed based on the fluctuation trend sequence, fluctuation energy, and spatial position relationship of each disturbed port in the reference port and the disturbed port set to determine the disturbance dissipation index.

[0009] In one possible implementation, the method includes: If the target port in the maintenance work order is online, the target port will be used as the reference port. When the target port in the maintenance work order is offline, the baseline score of each port is determined based on the fluctuation energy of each port and the spatial relationship of each port, and the port with the highest baseline score among all ports is taken as the baseline port.

[0010] In one possible implementation, the method includes: For each disturbed port in the set of disturbed ports, a correlation analysis is performed based on the fluctuation trend sequence of the disturbed port and a reference fluctuation trend sequence to determine the fluctuation asynchrony coefficient of the disturbed port; the fluctuation asynchrony coefficient is used to characterize the degree to which the fluctuation trend of the disturbed port deviates from the baseline trend; The disturbance dissipation index is determined based on the fluctuation asynchrony coefficient, fluctuation energy, and spatial distance between each disturbed port in the disturbed port set and the target port in the maintenance work order.

[0011] In one possible implementation, the method includes: For each disturbed port in the set of disturbed ports, the sequence correlation coefficient corresponding to the disturbed port is determined based on the fluctuation trend sequence of the disturbed port and a reference fluctuation trend sequence; For each disturbed port in the set of disturbed ports, the fluctuation asynchrony coefficient of the disturbed port is determined according to the sequence correlation coefficient corresponding to the disturbed port.

[0012] In one possible implementation, the method includes: The basic attenuation threshold is corrected based on the disturbance dissipation index to determine the dynamic attenuation threshold; For each port, the closing attenuation amount of the port during the closing acceptance window corresponding to the maintenance work order is determined based on the baseline trend sequence of the port; the closing attenuation amount is used to characterize the optical power attenuation magnitude of the corresponding port during the closing acceptance window. The operation and maintenance work order is executed and accepted based on the closing attenuation of each port and the dynamic attenuation threshold.

[0013] In one possible implementation, the method includes: If the closing attenuation of at least one of the ports is greater than the dynamic attenuation threshold, the maintenance work order is deemed to have failed acceptance. If the closing attenuation of each port is less than or equal to the dynamic attenuation threshold, the maintenance work order is deemed to have passed acceptance.

[0014] The present invention has the following beneficial effects: Based on the above technical solution, this application achieves full-process data perception of the optical link status within the optical fiber distribution box by acquiring the optical power data sequence of each port during the operation and maintenance work order execution cycle. Then, the optical power data sequence of each port is subjected to dual-channel filtering to obtain the fluctuation trend sequence and baseline trend sequence for each port. This effectively avoids the mutual interference of mechanical disturbances and static link attenuation, ensuring the accuracy of the data source for subsequent disturbance analysis and acceptance testing. Therefore, based on the fluctuation trend sequence of each port and the spatial positional relationship of each port, spatial disturbance analysis is performed to determine the disturbance... The disturbance dissipation index transforms the standardization of operation and maintenance into a quantifiable physical indicator. Ultimately, the operation and maintenance work order execution acceptance test is conducted based on the disturbance dissipation index and the baseline trend sequence of each port. This links the quality of the operation and maintenance process with the acceptance criteria, achieving process-oriented quality control of operation and maintenance work orders. This overcomes the limitations of existing technologies that can only perform post-event result detection, effectively improving the precision of optical fiber distribution box operation and maintenance management. It can promptly detect and intercept potential faults during the operation and maintenance process, reducing the probability of secondary faults, thereby significantly improving the efficiency and quality of optical fiber distribution box operation and maintenance management in fault uploading scenarios. Attached Figure Description

[0015] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a flowchart illustrating a method for managing the operation and maintenance process of an optical fiber distribution box with fault uploading, provided in one embodiment of the present invention. Figure 2 This is a schematic diagram of the hardware structure of a fault-uploading optical fiber distribution box maintenance process management device provided in one embodiment of the present invention. Detailed Implementation

[0017] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a fault-uploading optical fiber distribution box operation and maintenance management method proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0019] In all division and logarithmic operations covered in this application, a smoothing mechanism is employed to prevent computer program crashes or invalid values ​​from being generated due to a zero denominator or a zero input. Specifically, a positive correction factor is superimposed on the denominator term of the division operation or the argument term of the logarithmic function. For example, the value is This ensures the robustness and feasibility of the algorithm under extreme conditions.

[0020] The normalization function mentioned in this application Unless otherwise specified, all values ​​are normalized using maximum and minimum values. The maximum and minimum values ​​are preset empirical extreme values ​​derived from a large amount of historical experimental data. If the calculated result exceeds the [0,1] interval, it is restricted to the [0,1] range by a truncation function (i.e., if the result is less than 0, it is taken as 0, and if it is greater than 1, it is taken as 1) to eliminate the influence of outliers on the evaluation index.

[0021] The following description, in conjunction with the accompanying drawings, details the specific scheme of the optical fiber distribution box operation and maintenance process management method for fault uploading provided by the present invention.

[0022] Please see Figure 1 The diagram illustrates a method flowchart for managing the operation and maintenance process of an optical fiber distribution box with fault uploading, according to an embodiment of the present invention. The method includes the following steps: Step 101: Obtain the optical power data sequence of each port of the target fiber distribution box within the operation and maintenance work order execution cycle.

[0023] Among them, the optical power data sequence is used to characterize the optical power change of the corresponding port during the operation and maintenance work order execution cycle.

[0024] In some embodiments, the target fiber distribution box is the optical fiber distribution box for which an operation and maintenance work order is to be executed in the fault upload scenario. The operation and maintenance work order execution cycle is the entire time period from when the work order status changes to the start of construction to when the operation and maintenance personnel apply for completion. This time period covers all on-site operation processes of the operation and maintenance personnel.

[0025] The optical power data sequence is a set of optical power sampling data arranged in the time dimension. It is the basic data source for subsequent analysis of optical fiber mechanical disturbance and optical link attenuation status in the box. It is collected from all online ports in the target fiber distribution box. Online ports refer to ports that are currently transmitting optical signals.

[0026] For example, the sampling frequency of the optical power data sequence is adapted to the engineering sampling capability of the optical network unit (ONU). Typically, a sampling frequency of 1Hz is selected, that is, one optical power data point is collected per second, so as to ensure the data's ability to represent changes in optical power under the premise of engineering feasibility.

[0027] Step 102: Perform dual-channel filtering on the optical power data sequence of each port to obtain the fluctuation trend sequence and the baseline trend sequence for each port.

[0028] The fluctuation trend sequence is used to characterize the optical power variation characteristics of the corresponding port caused by mechanical disturbances. The baseline trend sequence is used to characterize the static power attenuation characteristics of the optical link at the corresponding port.

[0029] It should be noted that the original optical power data sequence contains two types of physical characteristics corresponding to optical power changes. One type is the instantaneous fluctuation of optical power caused by mechanical contact, vibration and other disturbances to the optical fiber during operation and maintenance. The other type is the continuous attenuation of the optical link caused by factors such as static bending of the optical fiber and changes in ambient temperature. If the original data is used directly for analysis, the two types of characteristics will interfere with each other, and the required information cannot be accurately extracted.

[0030] Dual-channel filtering refers to performing two filtering operations with different characteristics in parallel on the same raw optical power data sequence to separate signal components of different frequencies. The fluctuation trend sequence reflects the instantaneous power fluctuation characteristics caused by mechanical contact, pulling, or other operations, and belongs to high-frequency or mid-frequency signal components; the baseline trend sequence reflects the slow power drift characteristics caused by static bending of cables, changes in ambient temperature, or inherent link losses, and belongs to low-frequency or DC signal components.

[0031] In one possible implementation, this application can process the optical power data sequence of each port using a digital high-pass filter to obtain the fluctuation trend sequence of each port, and process the optical power data sequence of each port using a moving average filtering algorithm to obtain the baseline trend sequence of each port.

[0032] The core function of the digital high-pass filter is to filter out low-frequency components in the optical power data sequence and retain high-frequency instantaneous fluctuation components that can characterize mechanical disturbances, thereby obtaining a fluctuation trend sequence. For example, the cutoff frequency of the digital high-pass filter can be set to 0.1Hz. This cutoff frequency is determined by combining the characteristic frequency of mechanical disturbances in the optical cable distribution box and the low-frequency characteristics of factors such as environmental temperature drift and static bending, which can accurately separate the high-frequency fluctuations in optical power caused by mechanical contact and vibration.

[0033] The moving average filtering algorithm is used to smooth optical power data sequences, filtering out instantaneous high-frequency fluctuations and retaining low-frequency and DC components that characterize the static attenuation of the optical link, thus obtaining a baseline trend sequence. For example, the window size of the moving average filtering algorithm is set to 5 seconds. This window size effectively smooths instantaneous optical power fluctuations caused by mechanical disturbances, while avoiding over-filtering the true static attenuation changes of the optical link, ensuring that the baseline trend sequence accurately reflects the connection quality status of the optical link.

[0034] Both the digital high-pass filter and the moving average filter algorithm process the optical power data sequence of each port. The two filtering processes are independent of each other, outputting fluctuation trend sequence and baseline trend sequence respectively. This achieves complete separation of mechanical disturbance characteristics and static link attenuation characteristics. The two types of sequences serve subsequent spatial disturbance analysis and operation and maintenance acceptance testing respectively, without feature interference.

[0035] Step 103: Based on the fluctuation trend sequence of each port and the spatial position relationship of each port, perform spatial disturbance analysis to determine the disturbance dissipation index.

[0036] The disturbance dissipation index is used to characterize the degree of disturbance to optical cable signals caused by maintenance operations. This disturbance dissipation index is positively correlated with the degree of violation of maintenance operations. The larger the value, the wider the spatial dissipation range and the greater the intensity of the disturbance, and the higher the degree of violation of maintenance operations. This disturbance dissipation index can transform ambiguous maintenance operation behaviors into quantifiable physical indicators.

[0037] It should be noted that the fiber optic patch cords in the fiber optic distribution box are bundled together. Compliant maintenance operations will only cause local disturbances near the target port, while non-compliant operations will cause irregular and independent disturbances in areas far from the target port. Therefore, the spatial distribution characteristics of maintenance disturbances are the core basis for judging the compliance of operations.

[0038] The spatial positional relationship of each port is the geometric positional relationship of each port on the fiber distribution box panel. The spatial disturbance analysis combines the mechanical disturbance characteristics (fluctuation trend sequence) and spatial positional characteristics of each port to quantitatively analyze the spatial distribution and propagation of disturbances generated by operation and maintenance, and finally obtains the disturbance dissipation index.

[0039] Step 104: Perform operation and maintenance work order execution acceptance testing based on the disturbance dissipation index and the baseline trend sequence of each port.

[0040] The acceptance testing of maintenance work orders is a quality inspection step before the completion of maintenance work orders, used to determine whether there are potential optical link faults in the maintenance work. Existing technologies typically use a fixed optical power attenuation threshold for acceptance, without considering the degree of operational standardization during the maintenance process. In contrast, this application uses the disturbance dissipation index, reflecting the quality of process operation, as the basis, combined with a benchmark trend sequence characterizing the static attenuation of the optical link for acceptance testing. This achieves a dynamic acceptance logic where process quality determines the acceptance standard, allowing for flexible adjustment of acceptance requirements based on the degree of standardization in maintenance operations. For work orders with operational violations, the acceptance standard can be raised, effectively intercepting potential optical link faults caused by improper operations.

[0041] Based on the above technical solution, this application achieves full-process data perception of the optical link status within the optical fiber distribution box by acquiring the optical power data sequence of each port during the operation and maintenance work order execution cycle. Then, the optical power data sequence of each port is subjected to dual-channel filtering to obtain the fluctuation trend sequence and baseline trend sequence for each port. This effectively avoids the mutual interference of mechanical disturbances and static link attenuation, ensuring the accuracy of the data source for subsequent disturbance analysis and acceptance testing. Therefore, based on the fluctuation trend sequence of each port and the spatial positional relationship of each port, spatial disturbance analysis is performed to determine the disturbance... The disturbance dissipation index transforms the standardization of operation and maintenance into a quantifiable physical indicator. Ultimately, the operation and maintenance work order execution acceptance test is conducted based on the disturbance dissipation index and the baseline trend sequence of each port. This links the quality of the operation and maintenance process with the acceptance criteria, achieving process-oriented quality control of operation and maintenance work orders. This overcomes the limitations of existing technologies that can only perform post-event result detection, effectively improving the precision of optical fiber distribution box operation and maintenance management. It can promptly detect and intercept potential faults during the operation and maintenance process, reducing the probability of secondary faults, thereby significantly improving the efficiency and quality of optical fiber distribution box operation and maintenance management in fault uploading scenarios.

[0042] As a possible embodiment of this application, step 101 above can be implemented through the following steps: Step 201: Obtain the physical mapping map of the fiber distribution box panel of the target fiber distribution box.

[0043] The physical mapping map of the fiber distribution box panel is used to represent the two-dimensional geometric coordinates of each port on the fiber distribution box panel. The physical mapping map of the fiber distribution box panel includes the definition of the two-dimensional coordinate system of the panel of the mainstream specifications of optical fiber distribution boxes in the current network (such as 12-core, 24-core, 48-core, etc.), as well as the geometric center coordinates of the panel corresponding to the sequence number of each logical port. The origin of the coordinate system is usually set to the upper left corner of the panel, with the horizontal axis as the x-axis and the vertical axis as the y-axis, and the coordinate unit is millimeters.

[0044] For example, for each logical port ID, the database records its corresponding geometric center coordinates (x, y). Through this physical mapping map of the fiber optic distribution box panel, this application can transform abstract network topology relationships into physical entity models with spatial measurement capabilities, providing a location data foundation for subsequent spatial disturbance analysis. When a maintenance work order is initiated, this application can directly load the corresponding physical mapping map of the fiber optic distribution box panel based on the model of the target fiber optic distribution box.

[0045] Step 202: In response to the status change of the maintenance work order to "Construction Start", perform asynchronous data acquisition on each port in the target fiber distribution box to obtain the original optical power sampling data of each port within the execution cycle of the maintenance work order.

[0046] The status of the maintenance work order is uniformly managed by the network management system. When the status changes to construction start, the optical power data collection process is triggered. This application can issue a performance monitoring configuration command to the optical line terminal (OLT) to which the target fiber distribution box belongs. The OLT then controls all online ONU ports in the fiber distribution box to start the periodic collection of optical power data.

[0047] Asynchronous data acquisition is a data acquisition method adopted to adapt to the engineering characteristics of existing optical network equipment. Due to the random processing delay in the response of the optical network unit to the polling command of the optical line terminal, and the difference in the upload time of optical power data of each port, the server-side asynchronous buffer is used to continuously receive and store the raw optical power sampling data of each port until the completion application of the operation and maintenance personnel is received, so as to ensure that the raw data collected covers the entire life cycle of the operation and maintenance work order and there is no data loss.

[0048] Step 203: Perform time-domain alignment processing on the raw optical power sampling data of each port within the operation and maintenance work order execution cycle to generate the optical power data sequence of each port.

[0049] It should be noted that, due to the random processing delay of the ONU in the passive optical network architecture when responding to the OLT's polling command, and the fact that the clocks of each device are not synchronized at the microsecond level, directly comparing the raw timestamp data uploaded from different ports will lead to phase misalignment, making cross-port synchronization analysis impossible.

[0050] Therefore, this application performs time-domain alignment processing. For example, this application can establish a standard discrete time axis with a step size consistent with the data sampling frequency. A linear interpolation algorithm is used to map the non-uniformly sampled raw data from each port onto this standard time axis, ensuring that the optical power data from each port has corresponding sampled values ​​at the same time nodes. This ultimately generates a strictly aligned optical power data sequence in the time dimension, guaranteeing the effectiveness of subsequent cross-port data comparison and analysis. For instance, the step size of the standard discrete time axis is set to 1 second, matching a sampling frequency of 1 Hz. The linear interpolation algorithm uses a single linear interpolation, ensuring both alignment accuracy and computational efficiency.

[0051] Based on the above technical solution, this application obtains the physical mapping map of the fiber distribution box panel of the target fiber distribution box, providing accurate port spatial location data for subsequent spatial disturbance analysis. This achieves the transformation from logical ports to physical coordinates. In response to the status change of the maintenance work order to "construction start," asynchronous data acquisition is performed on each port within the target fiber distribution box to obtain the raw optical power sampling data of each port within the maintenance work order execution cycle. This adapts to the engineering characteristics of existing optical network equipment, ensuring that the collected raw optical power sampling data can completely cover the entire cycle of the maintenance work order execution. Finally, the raw optical power sampling data of each port within the maintenance work order execution cycle is time-domain aligned to generate optical power data sequences for each port. This eliminates the cross-port data phase misalignment problem caused by equipment latency, generating standardized optical power data sequences and ensuring the effectiveness of subsequent cross-port data comparison and analysis. The above technical solution standardizes the data source from both spatial and temporal dimensions, laying a high-quality data foundation for subsequent filtering, spatial disturbance analysis, and other steps, further improving the analytical accuracy and engineering feasibility of the entire maintenance process management method.

[0052] As a possible embodiment of this application, step 103 above can be implemented through the following steps: Step 301: Determine the fluctuation energy of each port based on the fluctuation trend sequence of each port.

[0053] Among them, fluctuation energy is used to characterize the intensity of optical power fluctuation caused by mechanical disturbance during the execution cycle of the maintenance work order at the corresponding port.

[0054] Among them, the fluctuation trend sequence is the optical power fluctuation value arranged in the time dimension, which reflects the mechanical disturbance intensity at a single time node, while the fluctuation energy is the cumulative quantification of the mechanical disturbance intensity throughout the entire cycle of the operation and maintenance work order, which can comprehensively characterize the degree of mechanical disturbance experienced by a port in the entire operation and maintenance process.

[0055] For example, wave energy satisfies the following formula:

[0056] in, For the first Fluctuating energy at each port This represents the number of optical power fluctuation values ​​in the fluctuation trend sequence. For the first In the fluctuation trend sequence of the first port, the first... Each optical power fluctuation value corresponds to a sampling time. The optical power fluctuation value.

[0057] The above formula quantifies the cumulative disturbance intensity experienced by the port during a work order cycle by calculating the sum of the absolute values ​​of the fluctuation trend sequence over the entire time axis. Since optical power fluctuations can manifest as positive deviations (power increases) or negative deviations (power decreases), both representing the presence of mechanical disturbances, this application unifies the fluctuations in both directions into a single disturbance intensity sum using absolute value calculations, thereby more accurately reflecting the continuous cumulative effect of the disturbance. The larger the fluctuation energy value, the more severe the mechanical disturbance experienced by the port during the maintenance cycle.

[0058] Step 302: Perform spatial disturbance analysis based on the fluctuation trend sequence, fluctuation energy, and spatial location relationship of each port to determine the disturbance dissipation index.

[0059] In the spatial disturbance analysis, the fluctuation trend sequence reflects the temporal characteristics of the port's mechanical disturbance, the fluctuation energy reflects the intensity characteristics of the port's mechanical disturbance, and the spatial positional relationship reflects the spatial characteristics of the port's mechanical disturbance. These three types of features characterize the disturbance state generated by operation and maintenance from different dimensions. This application integrates and analyzes these three types of features, comprehensively considers the temporal characteristics, intensity characteristics, and spatial distribution characteristics of disturbances at each port, establishes a multi-dimensional quantitative calculation model, and finally obtains a disturbance dissipation index that can accurately characterize the degree of disturbance dissipation.

[0060] Based on the above technical solution, this application determines the fluctuation energy of each port by analyzing the fluctuation trend sequence of each port, thereby achieving full-cycle cumulative quantification of the mechanical disturbance intensity of each port. Then, based on the fluctuation trend sequence, fluctuation energy, and spatial position relationship of each port, spatial disturbance analysis is performed to determine the disturbance dissipation index. This comprehensively portrays the state of maintenance disturbance from three dimensions: time, intensity, and space. The determination process of the disturbance dissipation index is more in line with the actual disturbance propagation law within the optical cable distribution box, ensuring that the disturbance dissipation index can accurately and comprehensively characterize the degree of dissipation of optical cable signal disturbance caused by maintenance operations. This provides accurate process quality quantification indicators for subsequent dynamic acceptance testing and further enhances the quantitative analysis capability of maintenance process management methods.

[0061] As a possible embodiment of this application, step 302 above can be implemented through the following steps: Step 401: Determine the reference port from each port based on the fluctuation energy of each port and the spatial relationship between each port.

[0062] Among them, the fluctuation trend sequence of the benchmark port is the reference fluctuation trend sequence.

[0063] Among them, the benchmark port is the source port of disturbance generated by operation and maintenance. Its fluctuation trend sequence is the reference standard for judging whether the disturbances of other ports are compliant transmission disturbances. Determining the benchmark port is the premise for distinguishing between compliant and non-compliant disturbances.

[0064] In some embodiments, the determination of the reference port can take into account both the port's fluctuation energy and spatial position relationship. Fluctuation energy reflects the port's disturbance intensity, while spatial position relationship reflects the spatial distance between the port and the target port of the work order. Disturbance source ports typically have the characteristics of high fluctuation energy and close spatial distance to the target port. Determining the reference port based on these two characteristics ensures its accuracy and reference value.

[0065] In one possible implementation, if the target port in the maintenance work order is online, the target port is used as the base port.

[0066] Among them, the target port in the operation and maintenance work order is the operation port specified by the operation and maintenance personnel. Under normal circumstances, the target port is the source of disturbance in the operation and maintenance operation. Therefore, when the target port is online (there is optical signal transmission and optical power data can be collected), it can be directly used as the reference port.

[0067] When the target port in the maintenance work order is offline, the baseline score of each port is determined based on the fluctuation energy of each port and the spatial relationship of each port, and the port with the highest baseline score is taken as the baseline port.

[0068] When the target port is offline (no optical signal transmission, unable to collect optical power data), it cannot be directly used as the reference port. In this case, this application can filter the reference port by calculating the reference score.

[0069] For example, the benchmark score satisfies the following formula:

[0070] in, For the first The benchmark score for each port, For the first Fluctuating energy at each port For the first The spatial distance between each port and the target port can be calculated based on the physical mapping map of the fiber distribution box panel. It is a safety parameter used to correct fractions where the denominator is 0, and its dimensions are the same as... The same applies; the specific value can be determined based on... The value of the value determines the outcome, such as .

[0071] It characterizes the intensity of the disturbance experienced at the port. This represents the spatial distance between the port and the target operating position (a non-linear penalty for the distance is achieved through squaring). The resulting benchmark score can effectively eliminate illegal interference sources that, although possessing enormous energy, are extremely far from the target, ensuring the purity of the benchmark signal.

[0072] Step 402: Determine the noise floor threshold based on the fluctuation energy of each port, and determine the set of disturbed ports from each port based on the noise floor threshold.

[0073] It should be noted that fiber optic distribution boxes are typically installed outdoors or in corridors. Environmental factors such as wind and vehicle movement can generate background micro-disturbances, and the optical modules themselves also contain quantization noise. These meaningless weak signals can interfere with disturbance analysis and are referred to as noise floor. The noise floor threshold is an adaptive threshold determined based on the statistical characteristics of the fluctuation energy of each port. It is used to filter out invalid weak disturbance signals corresponding to the noise floor, retaining only effective mechanical disturbance signals with significant amplitude. The disturbed port set is the set of all ports whose fluctuation energy exceeds the noise floor threshold and are not the reference port. This disturbed port set focuses on ports subjected to effective mechanical disturbances, excluding noise floor interference and the reference port itself. This ensures that subsequent disturbance analysis targets only effective disturbance signals, improving analysis efficiency and accuracy.

[0074] For example, the noise floor threshold satisfies the following formula:

[0075] in, The noise floor threshold, This represents the median of the fluctuation energy at each port. Let be the standard deviation of the fluctuation energy at each port.

[0076] It should be noted that if the calculated If the sensitivity is less than the preset minimum hardware detection sensitivity (e.g., equivalent to 0.05 dB of fluctuation integral), then a forced setting will be applied. To achieve the minimum hardware detection sensitivity, this application can define a set of disturbed ports, excluding the reference port, where the fluctuation energy in each port exceeds the noise floor threshold.

[0077] Step 403: Based on the fluctuation trend sequence, fluctuation energy, and spatial position relationship of each disturbed port in the reference port and disturbed port set, perform spatial disturbance analysis to determine the disturbance dissipation index.

[0078] After determining the set of reference ports and disturbed ports, the object of spatial disturbance analysis is further focused. This application uses the reference fluctuation trend sequence of the reference port as the standard, and combines the fluctuation trend sequence, fluctuation energy and spatial position relationship of the disturbed port to analyze the correlation between the disturbance of each disturbed port and the disturbance of the reference port, as well as the spatial distribution characteristics of the disturbance. Finally, the disturbance dissipation index is obtained through quantitative calculation.

[0079] In one possible implementation, this application can determine the fluctuation asynchrony coefficient of each disturbed port in the disturbed port set by performing correlation analysis based on the fluctuation trend sequence of the disturbed port and a reference fluctuation trend sequence.

[0080] Among them, the fluctuation asynchrony coefficient is used to characterize the degree to which the fluctuation trend of the disturbed port deviates from the baseline trend.

[0081] For example, this application can determine the sequence correlation coefficient corresponding to each disturbed port in the disturbed port set based on the fluctuation trend sequence of the disturbed port and a reference fluctuation trend sequence, and then determine the fluctuation asynchrony coefficient of each disturbed port in the disturbed port set based on the sequence correlation coefficient corresponding to the disturbed port.

[0082] For example, the sequence correlation coefficient can be the Pearson correlation coefficient, which satisfies the following formula:

[0083] in, For the first The sequence correlation coefficient corresponding to each disturbed port This represents the number of optical power fluctuation values ​​in the fluctuation trend sequence. For the first In the fluctuation trend sequence of the first port, the first... Each optical power fluctuation value corresponds to a sampling time. Optical power fluctuation value, For the first The average value of optical power fluctuation in the fluctuation trend sequence of each port. For reference, the first in the fluctuation trend sequence Each optical power fluctuation value corresponds to a sampling time. Optical power fluctuation value, This is the average value of the optical power fluctuation in the reference fluctuation trend sequence.

[0084] The fluctuation asynchronous coefficient satisfies the following formula:

[0085] in, For the first The fluctuation asynchronous coefficient of each disturbed port, For the first The sequence correlation coefficient corresponding to each disturbed port The function is for maximizing the value. When the sequence correlation coefficient approaches 1, the volatility asynchrony coefficient approaches 0, indicating that the volatility trend of this port is consistent with the benchmark height, and is judged as compliant structural transmission; when the sequence correlation coefficient approaches 0 or a negative value, the volatility asynchrony coefficient approaches 1, indicating that the volatility trend of this port is independent and random, and is judged as non-structural illegal disturbance.

[0086] Subsequently, the disturbance dissipation index is determined based on the fluctuation asynchrony coefficient, fluctuation energy, and spatial distance between each disturbed port in the disturbed port set and the target port in the maintenance work order.

[0087] For example, the perturbation dissipation index satisfies the following formula:

[0088] in, The perturbation dissipation index, For the set of disturbed ports, For the first The fluctuation energy of each disturbed port For the first The fluctuation asynchronous coefficient of each disturbed port, For the first The normalized spatial distance between the disturbed port and the target port in the maintenance work order can be obtained through... The calculation yielded that, For the first The spatial distance between the affected port and the target port in the maintenance work order. This is the diagonal length of the fiber distribution box panel.

[0089] Based on the above technical solution, this application determines the reference port from each port according to the fluctuation energy and spatial relationship of each port, providing an accurate reference standard for distinguishing between compliant conducted disturbances and non-compliant independent disturbances. Then, the noise floor threshold is determined according to the fluctuation energy of each port, and then the set of disturbed ports is determined from each port according to the noise floor threshold. This effectively filters out invalid disturbance signals caused by environmental noise and equipment noise, and eliminates the influence of the reference port itself. Finally, spatial disturbance analysis is performed based on the fluctuation trend sequence, fluctuation energy and spatial relationship of each disturbed port in the reference port and the set of disturbed ports to determine the disturbance dissipation index. This ensures that the disturbance dissipation index can accurately characterize the degree of violation of operation and maintenance, further improving the accuracy and effectiveness of spatial disturbance analysis, and providing a more reliable process quality indicator for subsequent dynamic acceptance testing.

[0090] As a possible embodiment of this application, step 104 above can be implemented through the following steps: Step 501: Correct the basic attenuation threshold based on the disturbance dissipation index to determine the dynamic attenuation threshold.

[0091] The basic attenuation threshold is a preset fixed threshold, which is the maximum optical power attenuation of the optical link allowed by the system under fully standardized operation and maintenance. For example, the basic attenuation threshold is set to 0.5dB. This basic attenuation threshold can be determined by combining the operation and maintenance specifications of the passive optical network and the transmission characteristics of the optical link.

[0092] The dynamic attenuation threshold is a dynamic threshold based on the quality of the operation and maintenance process. The disturbance dissipation index is used as a risk penalty factor to correct the basic attenuation threshold. The larger the disturbance dissipation index, the higher the degree of violation of the operation and maintenance operation, the greater the potential fault of the optical link, and the smaller the dynamic attenuation threshold. The more stringent the acceptance standard, the more chaotic the process, the stricter the acceptance. This realizes the dynamic acceptance logic that the more chaotic the process, the stricter the acceptance.

[0093] For example, the dynamic decay threshold satisfies the following formula:

[0094] in, The dynamic decay threshold, Based on the attenuation threshold, The perturbation dissipation index, This is an adjustment coefficient used to adjust the degree of correction. It can be determined based on experimental data analysis, for example, it can be 0.5.

[0095] This characterizes the decay factor in the form of a natural exponential function when the operating specification (the perturbation dissipation exponent approaches 0). When the value approaches 1, the dynamic attenuation threshold is approximately equal to the base attenuation threshold, and the system undergoes acceptance testing using standard, lenient criteria. However, if an operational violation occurs (the disturbance dissipation index increases), The dynamic decay threshold decreases rapidly due to the monotonically decreasing characteristic of the exponential function.

[0096] Step 502: For each port, determine the closing attenuation amount during the closing acceptance window corresponding to the maintenance work order based on the port's baseline trend sequence.

[0097] The closing attenuation is used to characterize the optical power attenuation of the corresponding port during the closing acceptance window. The closing acceptance window is a short period before the maintenance personnel submit the completion application. This period corresponds to the operation phase where the maintenance personnel close the fiber distribution box door. The squeezing action of the box door can easily cause micro-bending loss in the optical fiber, leading to optical power attenuation, which is the main stage for secondary faults. For example, this application can determine the closing acceptance window period based on the end time of the maintenance work order and the backtracking time window. The length of the backtracking time window can be set to 30 seconds, which can fully cover the operation process of closing the box door and the stabilization process of the optical power signal.

[0098] For example, the closing attenuation satisfies the following formula:

[0099] in, For the first Closure attenuation of each port For the first End time in the baseline trend sequence of each port optical power reference value, For the first In the baseline trend sequence of each port, time... The optical power reference value.

[0100] It should be noted that this application only focuses on the case of power decrease (attenuation). If the power value increases (link improvement), then... Set it to 0, because an increase in power usually does not indicate risk. This directly reflects the impact of the door closing operation on the optical link.

[0101] Step 503: Perform operation and maintenance work order execution acceptance testing based on the closing attenuation amount and dynamic attenuation threshold of each port.

[0102] In some embodiments, if the closing attenuation of at least one port is greater than the dynamic attenuation threshold, the maintenance work order is deemed unacceptable.

[0103] If the closing attenuation of each port is less than or equal to the dynamic attenuation threshold, the maintenance work order is deemed to have passed acceptance.

[0104] The acceptance testing employs a single-point veto principle. If the closing attenuation of any port exceeds the dynamic attenuation threshold, it indicates that the optical link at that port has experienced attenuation exceeding acceptance standards due to pressure from the fiber optic cable distribution box, posing a potential fault. Therefore, the entire maintenance work order is deemed unacceptable. This principle is based on the maintenance characteristics of fiber optic distribution boxes. A fault in the optical link at any port within the box will affect the corresponding service transmission. Furthermore, a fault in a single port may be transmitted to other ports due to the fiber bundling structure, triggering a cascading failure. Therefore, the single-point veto principle minimizes fault risks and ensures maintenance quality.

[0105] For example, when a maintenance work order fails acceptance, this application can immediately lock the work order status, reject the completion request, and push a rectification instruction to the maintenance personnel's terminal, prompting "Detected potential for door compression; please reorganize the cables." Maintenance personnel need to reopen the fiber distribution box door and reorganize the internal cables to eliminate compression. This application can continuously monitor optical power data. Only when the optical power of the affected port recovers to the level before door compression (or the attenuation falls back to within the threshold) will the work order be unlocked, allowing maintenance personnel to re-initiate the "request completion" instruction and re-execute the full-process audit until it passes. When the maintenance work order passes acceptance, the work order is automatically released, allowing it to proceed to the "completed and archived" status.

[0106] In some embodiments, this application can also perform a group assessment: if the proportion of ports with a closing attenuation greater than the dynamic attenuation threshold is greater than a preset safety ratio, it is determined that there is a systemic stress lockout hazard, and the acceptance failure process is triggered accordingly. The preset safety ratio can be determined based on statistical data, for example, it can be 5%.

[0107] Based on the above technical solution, this application determines a dynamic attenuation threshold by correcting the basic attenuation threshold according to the disturbance dissipation index. This allows the acceptance criteria to be flexibly adjusted according to the standardization of operation and maintenance, raising the acceptance criteria for work orders with violations, and achieving targeted control over the operation and maintenance process. Furthermore, for each port, the closing attenuation amount during the closing acceptance window corresponding to the operation and maintenance work order is determined based on the port's baseline trend sequence. This accurately reflects the actual impact of door compression on the optical link. Finally, the operation and maintenance work order execution acceptance test is performed based on the closing attenuation amount of each port and the dynamic attenuation threshold. This deeply integrates the process operation quality with the result acceptance, realizing a process quality-driven dynamic acceptance closed-loop mechanism, further improving the accuracy and effectiveness of operation and maintenance work order acceptance testing, and reducing the probability of secondary failures.

[0108] It should be noted that the various embodiments of this application can be referenced or learned from each other. For example, the same or similar steps, method embodiments, system embodiments and device embodiments can be referenced from each other without limitation.

[0109] This embodiment also provides a hardware structure diagram of a fault-uploading optical fiber distribution box maintenance process management device (denoted as fault-uploading optical fiber distribution box maintenance process management device 20), see [link to diagram]. Figure 2 The optical fiber distribution box maintenance process management device 20 that transmits fault information includes a processor 21, and optionally, a memory 22 connected to the processor 21.

[0110] In the first possible implementation, see Figure 2 The optical fiber distribution box maintenance management device 20, which handles fault reporting, also includes a communication interface 23. The processor 21, memory 22, and communication interface 23 are connected via a bus. The communication interface 23 is used to communicate with other devices or communication networks. Optionally, the communication interface 23 may include a transmitter and a receiver. The device in the communication interface 23 that implements the receiving function can be considered a receiver, which is used to perform the receiving steps in the embodiments of this application. The device in the communication interface 23 that implements the transmitting function can be considered a transmitter, which is used to perform the transmitting steps in the embodiments of this application.

[0111] Based on the first possible implementation method Figure 2 The structural diagram shown can be used to illustrate the structure of the optical fiber distribution box operation and maintenance process management device for fault uploading involved in the above embodiments.

[0112] in, Figure 2 This can also be illustrated by the system chip in the fiber optic distribution box maintenance process management device that handles fault reporting. In this case, the actions performed by the aforementioned fiber optic distribution box maintenance process management device that handles fault reporting can be implemented by this system chip. The specific actions performed can be found above and will not be repeated here.

[0113] In implementation, each step of the method provided in this embodiment can be completed by integrated logic circuits in the processor or by instructions in software form. The steps of the method disclosed in the embodiments of this application can be directly manifested as being executed by a hardware processor, or being executed by a combination of hardware and software modules in the processor.

[0114] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0115] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for managing the operation and maintenance process of optical fiber distribution boxes with fault reporting, characterized in that, include: Obtain the optical power data sequence of each port of the target fiber distribution box within the operation and maintenance work order execution cycle; the optical power data sequence is used to characterize the optical power change of the corresponding port within the operation and maintenance work order execution cycle; The optical power data sequences of each port are processed by dual-channel filtering to obtain the fluctuation trend sequence and the baseline trend sequence for each port. The fluctuation trend sequence is used to characterize the optical power change characteristics of the corresponding port caused by mechanical disturbance. The baseline trend sequence is used to characterize the static power attenuation characteristics of the optical link at the corresponding port; Spatial disturbance analysis is performed based on the fluctuation trend sequence of each port and the spatial position relationship of each port to determine the disturbance dissipation index; the disturbance dissipation index is used to characterize the degree of dissipation of the disturbance to the optical cable signal caused by operation and maintenance. The operation and maintenance work order execution acceptance test is carried out based on the disturbance dissipation index and the baseline trend sequence of each port.

2. The method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading as described in claim 1, characterized in that, Obtain the optical power data sequence of each port of the target fiber distribution box within the operation and maintenance work order execution cycle, including: Obtain the physical mapping map of the fiber distribution box panel of the target fiber distribution box; the physical mapping map of the fiber distribution box panel is used to characterize the two-dimensional geometric coordinates of each port on the fiber distribution box panel; In response to the status change of the maintenance work order to construction start, asynchronous data acquisition is performed on each port in the target fiber distribution box to obtain the original optical power sampling data of each port within the maintenance work order execution cycle; The original optical power sampling data of each port within the execution cycle of the maintenance work order are time-domain aligned to generate the optical power data sequence of each port.

3. The method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading as described in claim 1, characterized in that, The optical power data sequences of each port are subjected to dual-channel filtering to obtain the fluctuation trend sequence and baseline trend sequence for each port, including: The optical power data sequences of each port are processed by a digital high-pass filter to obtain the fluctuation trend sequence of each port, and the optical power data sequences of each port are processed by a moving average filtering algorithm to obtain the baseline trend sequence of each port.

4. The method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading as described in claim 1, characterized in that, Spatial disturbance analysis is performed based on the fluctuation trend sequence of each port and the spatial positional relationship of each port to determine the disturbance dissipation index, including: The fluctuation energy of each port is determined based on the fluctuation trend sequence of each port; the fluctuation energy is used to characterize the intensity of optical power fluctuation caused by mechanical disturbance during the operation and maintenance work order execution cycle of the corresponding port. Spatial disturbance analysis is performed based on the fluctuation trend sequence, fluctuation energy, and spatial location relationship of each port to determine the disturbance dissipation index.

5. The method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading according to claim 4, characterized in that, Spatial disturbance analysis is performed based on the fluctuation trend sequence, fluctuation energy, and spatial location relationship of each port to determine the disturbance dissipation index, including: A reference port is determined from each port based on the fluctuation energy of each port and the spatial relationship between each port; wherein, the fluctuation trend sequence of the reference port is a reference fluctuation trend sequence; The noise floor threshold is determined based on the fluctuation energy of each port, and the set of disturbed ports is determined from each port based on the noise floor threshold. Spatial disturbance analysis is performed based on the fluctuation trend sequence, fluctuation energy, and spatial position relationship of each disturbed port in the reference port and the disturbed port set to determine the disturbance dissipation index.

6. The method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading as described in claim 5, characterized in that, The reference port is determined from each port based on the fluctuation energy of each port and the spatial relationship between each port, including: If the target port in the maintenance work order is online, the target port will be used as the reference port. When the target port in the maintenance work order is offline, the baseline score of each port is determined based on the fluctuation energy of each port and the spatial relationship of each port, and the port with the highest baseline score among all ports is taken as the baseline port.

7. The method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading as described in claim 5, characterized in that, Spatial disturbance analysis is performed based on the fluctuation trend sequence, fluctuation energy, and spatial positional relationship of each disturbed port in the reference port and the disturbed port set to determine the disturbance dissipation index, including: For each disturbed port in the set of disturbed ports, a correlation analysis is performed based on the fluctuation trend sequence of the disturbed port and a reference fluctuation trend sequence to determine the fluctuation asynchrony coefficient of the disturbed port; the fluctuation asynchrony coefficient is used to characterize the degree to which the fluctuation trend of the disturbed port deviates from the baseline trend; The disturbance dissipation index is determined based on the fluctuation asynchrony coefficient, fluctuation energy, and spatial distance between each disturbed port in the disturbed port set and the target port in the maintenance work order.

8. The method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading according to claim 7, characterized in that, For each disturbed port in the set of disturbed ports, a correlation analysis is performed based on the fluctuation trend sequence of the disturbed port and a reference fluctuation trend sequence to determine the fluctuation asynchrony coefficient of the disturbed port, including: For each disturbed port in the set of disturbed ports, the sequence correlation coefficient corresponding to the disturbed port is determined based on the fluctuation trend sequence of the disturbed port and a reference fluctuation trend sequence; For each disturbed port in the set of disturbed ports, the fluctuation asynchrony coefficient of the disturbed port is determined according to the sequence correlation coefficient corresponding to the disturbed port.

9. The method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading according to claim 1, characterized in that, Based on the disturbance dissipation index and the baseline trend sequence of each port, the operation and maintenance work order execution acceptance test is performed, including: The basic attenuation threshold is corrected based on the disturbance dissipation index to determine the dynamic attenuation threshold; For each port, the closing attenuation amount of the port during the closing acceptance window corresponding to the maintenance work order is determined based on the baseline trend sequence of the port; the closing attenuation amount is used to characterize the optical power attenuation magnitude of the corresponding port during the closing acceptance window. The operation and maintenance work order is executed and accepted based on the closing attenuation of each port and the dynamic attenuation threshold.

10. The method for managing the operation and maintenance process of optical fiber distribution boxes with fault uploading according to claim 9, characterized in that, The operation and maintenance work order is executed and accepted based on the closing attenuation of each port and the dynamic attenuation threshold, including: If the closing attenuation of at least one of the ports is greater than the dynamic attenuation threshold, the maintenance work order is deemed to have failed acceptance. If the closing attenuation of each port is less than or equal to the dynamic attenuation threshold, the maintenance work order is deemed to have passed acceptance.

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