Optical fiber data analysis method, device, equipment and storage medium

Abstract

The present application provides a method, device, equipment and storage medium for analyzing optical fiber data, wherein the method includes: grouping the historical optical fiber test data corresponding to the target area in the first time period, obtaining the optical fiber test data sets corresponding to N first areas in the first time period, wherein the target area includes N first areas, and N is an integer greater than or equal to 2; obtaining the optical fiber quality evaluation indicators corresponding to the N first areas according to the optical fiber test data sets corresponding to the N first areas; determining the optical fiber quality parameters corresponding to the N first areas according to the optical fiber quality evaluation indicators corresponding to the N first areas. The present application uses a grouping method to centrally analyze the historical optical fiber test data of each first area, obtain the optical fiber quality conditions of different first areas, and can facilitate the deployment of test personnel for optical fiber maintenance, thereby improving the efficiency and effectiveness of optical fiber maintenance work from the perspective of big data analysis.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to an optical fiber data analysis method, device, equipment and storage medium. Background Art

[0002] At present, when conducting optical fiber testing, technicians usually go to the site to use an optical time domain reflectometer (OTDR) device to test the optical fiber, and then determine whether the optical fiber is abnormal based on the test results.

[0003] However, in the fiber optic testing scenario, there is a lack of strategies for analyzing the fiber optic test data in a region, which makes it impossible to determine where the fiber quality in a region is the worst and how to predict where the fiber is prone to problems.

[0004] It can be seen that the existing technology lacks a strategy for analyzing the optical fiber quality in the entire region in the optical fiber testing scenario, resulting in the inability of relevant managers to obtain the optical fiber quality in the entire region. Summary of the invention

[0005] In view of the above problems, embodiments of the present application provide a method, apparatus, device and storage medium for analyzing optical fiber data that overcome the above problems or at least partially solve the above problems.

[0006] In a first aspect, an embodiment of the present application provides a method for analyzing optical fiber data, comprising:

[0007] Grouping the historical optical fiber test data corresponding to the target area in the first time period, and obtaining optical fiber test data sets corresponding to N first areas in the first time period, wherein the target area includes N first areas, and N is an integer greater than or equal to 2;

[0008] According to the optical fiber test data sets respectively corresponding to the N first areas, obtaining optical fiber quality evaluation indicators respectively corresponding to the N first areas;

[0009] According to the optical fiber quality evaluation indicators respectively corresponding to the N first areas, the optical fiber quality parameters respectively corresponding to the N first areas are determined.

[0010] In a second aspect, an embodiment of the present application provides an optical fiber data analysis device, comprising:

[0011] A grouping acquisition module, used for grouping the historical optical fiber test data corresponding to the target area in the first time period, and acquiring the optical fiber test data sets corresponding to N first areas in the first time period, wherein the target area includes N first areas, and N is an integer greater than or equal to 2;

[0012] An acquisition module, configured to acquire optical fiber quality evaluation indicators corresponding to the N first areas respectively according to optical fiber test data sets corresponding to the N first areas respectively;

[0013] The first determination module is used to determine the optical fiber quality parameters corresponding to the N first areas respectively according to the optical fiber quality evaluation indicators corresponding to the N first areas respectively.

[0014] In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the optical fiber data analysis method described in the first aspect.

[0015] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the optical fiber data analysis method described in the first aspect are implemented.

[0016] The technical solution of the embodiment of the present application obtains historical optical fiber test data corresponding to the target area in the first time period, groups the obtained historical optical fiber test data, obtains optical fiber test data sets corresponding to N first areas in the first time period, obtains optical fiber quality evaluation indicators corresponding to the N first areas according to the N optical fiber test data sets, determines optical fiber quality parameters corresponding to the N first areas according to the optical fiber quality evaluation indicators corresponding to the N first areas, and implements centralized analysis of the historical optical fiber test data of each first area in a grouped manner to obtain optical fiber quality conditions of different first areas, so that relevant management personnel can obtain the optical fiber quality of the entire target area, and can conveniently deploy test personnel to perform optical fiber maintenance, thereby improving the efficiency and effectiveness of optical fiber maintenance work from the perspective of big data analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram showing a method for analyzing optical fiber data provided by an embodiment of the present application;

[0018] Figure 2 A flowchart showing an overall implementation of the optical fiber data analysis method provided in an embodiment of the present application;

[0019] Figure 3 A schematic diagram showing an optical fiber data analysis device provided in an embodiment of the present application;

[0020] Figure 4 A structural block diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0022] It should be understood that the references to "one embodiment" or "an embodiment" throughout the specification mean that the specific features, structures, or characteristics associated with the embodiment are included in at least one embodiment of the present application. Therefore, the references to "in one embodiment" or "in an embodiment" appearing throughout the specification do not necessarily refer to the same embodiment. In addition, these specific features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0023] In the various embodiments of the present application, it should be understood that the size of the serial numbers of the following processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0024] The present application embodiment provides a method for analyzing optical fiber data, which is applied to a server. Figure 1 As shown, the method includes:

[0025] Step 101: Group historical optical fiber test data corresponding to a target area in a first period, and obtain optical fiber test data sets corresponding to N first areas in the first period, wherein the target area includes N first areas, and N is an integer greater than or equal to 2.

[0026] The optical fiber data analysis method applied to a server provided in the present application first obtains the historical optical fiber test data corresponding to the first time period of the target area by the server, where the first time period is a pre-selected historical time period, such as the time period corresponding to one year before the date of the optical fiber data analysis. When the server obtains the historical optical fiber test data corresponding to the first time period of the target area, it can obtain the optical fiber test data uploaded by the technician through the corresponding equipment after testing each optical fiber in the target area at least once in the first time period.

[0027] For example, the target area is City A, which has a total of M optical fibers. These M optical fibers are tested every month in the past year (first period), so the server can obtain a total of 12*M historical optical fiber test data.

[0028] After obtaining the historical fiber test data corresponding to the target area in the first period, the obtained historical fiber test data are grouped based on the area to which the fiber belongs, and the fiber test data sets corresponding to the first period of the N first areas included in the target area are obtained. For example, the target area includes 5 first areas, and the optical fibers are grouped according to the area to which the optical fibers belong, and then the historical fiber test data corresponding to the target area in the first period are grouped. Through grouping, for each of the 5 first areas, the fiber test data set corresponding to the first period is determined. In the case where the target area is city A, each first area includes part of the M optical fibers. For example, a first area includes Q optical fibers, and the fiber test data set corresponding to the first area includes the historical fiber test data corresponding to each month of the Q optical fibers in the past year.

[0029] By grouping the historical optical fiber test data according to the regions to which the optical fibers belong, the historical optical fiber test data of each first region can be centrally analyzed by region, rather than analyzing the optical fiber test data set in the entire target region in general.

[0030] Step 102: Obtain optical fiber quality evaluation indicators corresponding to the N first areas respectively according to the optical fiber test data sets corresponding to the N first areas respectively.

[0031] After obtaining the optical fiber test data sets corresponding to the N first areas in the first time period respectively by grouping, the optical fiber quality evaluation indicators corresponding to the N first areas in the first time period respectively are obtained according to the optical fiber test data sets corresponding to the N first areas respectively. That is, for each of the N first areas, calculation is performed according to the optical fiber test data set corresponding to the first area to obtain the optical fiber quality evaluation indicator corresponding to the first area.

[0032] Step 103: Determine the optical fiber quality parameters corresponding to the N first regions respectively according to the optical fiber quality evaluation indicators corresponding to the N first regions respectively.

[0033] After determining the optical fiber quality evaluation indexes corresponding to the N first areas in the first time period, for each of the N first areas, according to the optical fiber quality evaluation index corresponding to the first area in the first time period, the optical fiber quality parameter corresponding to the first area in the first time period is determined, so as to obtain the optical fiber quality corresponding to each first area in the target area in a regional manner. The optical fiber quality parameters corresponding to the N first areas are the optical fiber quality parameters corresponding to the N first areas in the first time period.

[0034] The above implementation process of the present application obtains historical optical fiber test data corresponding to the target area in the first time period, groups the obtained historical optical fiber test data, obtains optical fiber test data sets corresponding to N first areas in the first time period, obtains optical fiber quality evaluation indicators corresponding to the N first areas according to the N optical fiber test data sets, determines optical fiber quality parameters corresponding to the N first areas according to the optical fiber quality evaluation indicators corresponding to the N first areas, and implements centralized analysis of historical optical fiber test data of each first area in a grouped manner to obtain optical fiber quality conditions of different first areas, so that relevant management personnel can obtain the optical fiber quality of the entire target area, and can conveniently deploy test personnel to perform optical fiber maintenance, thereby improving the efficiency and effectiveness of optical fiber maintenance work from the perspective of big data analysis.

[0035] In an embodiment of the present application, obtaining the optical fiber quality evaluation indicators corresponding to the N first regions respectively according to the optical fiber test data sets corresponding to the N first regions respectively includes:

[0036] For each first area among the N first areas, determining a driving force index, a state index, and a response index corresponding to the first area according to a plurality of historical optical fiber test data in an optical fiber test data set corresponding to the first area;

[0037] acquiring a pressure index corresponding to the first area according to a driving force index corresponding to the first area and driving force indexes corresponding to other areas adjacent to the first area;

[0038] Determining the impact indicator corresponding to the first area as a default impact parameter;

[0039] An optical fiber quality evaluation index corresponding to the first area is determined according to a driving force index, a state index, a response index, a pressure index, and an impact index corresponding to the first area.

[0040] When determining the optical fiber quality evaluation indicators corresponding to the N first regions respectively, it is necessary to determine the driving force indicator, state indicator, response indicator, pressure indicator and influence indicator corresponding to each first region, and then determine the optical fiber quality evaluation indicator corresponding to the first region based on the driving force indicator, state indicator, response indicator, pressure indicator and influence indicator corresponding to the first region. That is, the optical fiber quality evaluation indicator includes the driving force indicator, state indicator, response indicator, pressure indicator and influence indicator.

[0041] When determining the driving force index, state index, and response index corresponding to the first area, it is necessary to base on multiple historical fiber test data in the fiber test data set corresponding to the first area. When determining the pressure index corresponding to the first area, it is necessary to base on the driving force index corresponding to the first area and the adjacent area. The impact index of the first area is a default impact parameter, for example, the impact index is set to 0 by default to ignore the impact of the impact index on the final result.

[0042] In the above implementation process of the present application, by determining the driving force index, state index, response index, pressure index and influence index corresponding to each of the N first areas, the optical fiber quality evaluation indexes corresponding to the N first areas can be obtained, so as to determine the optical fiber quality parameters corresponding to the N first areas based on the optical fiber quality evaluation indexes corresponding to the N first areas, thereby obtaining the optical fiber quality corresponding to multiple first areas in the target area in the first time period.

[0043] In one embodiment of the present application, each piece of historical optical fiber test data includes at least the following test parameters: the region to which the optical fiber belongs, the optical fiber ID, the optical fiber line complaint record information in the corresponding second time period, the optical fiber line maintenance record information in the corresponding second time period, the optical fiber line error record information in the corresponding second time period, and the breakpoints, optical fiber attenuation points, total optical fiber attenuation and average optical fiber attenuation of the optical fiber in the corresponding second time period; each piece of historical optical fiber test data corresponds to a second time period, and the first time period includes at least one second time period.

[0044] For each historical optical fiber test data corresponding to the target area in the first time period, it at least includes the following test parameters: the area to which the optical fiber belongs, the optical fiber ID, the optical fiber line complaint record information in the corresponding second time period, the optical fiber line maintenance record information in the corresponding second time period, the optical fiber line error record information in the corresponding second time period, and the breakpoints, optical fiber attenuation points, total optical fiber attenuation and average optical fiber attenuation of the optical fiber in the corresponding second time period. The second time period can be a sub-time period in the first time period, or the first time period can be the second time period.

[0045] In the case where the second time period is a sub-time period in the first time period, each piece of historical optical fiber test data corresponds to a partial time period in the first time period, and the number of historical optical fiber test data corresponding to each optical fiber in the first time period is equal to the number of second time periods included in the first time period. The durations corresponding to different second time periods may be the same or different, and the start and end times corresponding to different second time periods are different.

[0046] For example, the duration corresponding to the first time period is one year, the number of second time periods is 12, and the duration corresponding to the second time period is one month, then the M optical fibers corresponding to the target area correspond to 12*M historical optical fiber test data, and each piece of historical optical fiber test data includes at least the following test parameters: the area to which the optical fiber belongs, the optical fiber ID, the optical fiber line complaint record information in the corresponding month, the optical fiber line maintenance record information, the optical fiber line error record information, and the breakpoints, optical fiber attenuation points, total optical fiber attenuation and average optical fiber attenuation of the optical fiber in the corresponding month.

[0047] In the case where the second time period is the first time period, each piece of historical optical fiber test data corresponds to the first time period, and the M optical fibers corresponding to the target area correspond to the M pieces of historical optical fiber test data in the first time period.

[0048] The process of obtaining the driving force index, state index, response index, and pressure index corresponding to the first area is introduced below. Determining the driving force index corresponding to the first area according to a plurality of historical optical fiber test data in the optical fiber test data set corresponding to the first area includes:

[0049] Inputting the plurality of historical optical fiber test data corresponding to the first area into the scoring model respectively, and obtaining the scoring results respectively corresponding to the plurality of historical optical fiber test data;

[0050] A driving force index corresponding to the first area is determined according to the scoring results corresponding to the plurality of historical optical fiber test data and the first weight corresponding to each optical fiber in the first area.

[0051] When determining the driving force index corresponding to the first area, for each of the multiple optical fibers corresponding to the first area, at least one historical optical fiber test data corresponding to the current optical fiber in the first time period is input into the scoring model to obtain at least one scoring result corresponding to the current optical fiber. In the case where the first time period includes at least two second time periods, the historical optical fiber test data corresponding to the current optical fiber in the first time period includes the historical optical fiber test data corresponding to the current optical fiber in at least two second time periods, that is, the multiple historical optical fiber test data corresponding to the first area include at least two historical optical fiber test data corresponding to each optical fiber in the first area. When the first time period is the second time period, the multiple historical optical fiber test data corresponding to the first area include one historical optical fiber test data corresponding to each optical fiber in the first area.

[0052] The following is an introduction to the process of inputting historical fiber test data into the scoring model to obtain the scoring results and determining the driving force index corresponding to the first area based on the scoring results. The first area corresponds to Q optical fibers, and the fiber test data set corresponding to the first area includes historical fiber test data corresponding to the Q optical fibers in K second time periods. The second time period can be a sub-time period of the first time period, or the second time period is the first time period, that is, K is an integer greater than or equal to 1, and the number of historical fiber test data corresponding to each optical fiber is equal to the number of second time periods. After each historical fiber test data is converted into a corresponding input vector, it is input into the scoring model to obtain the scoring result.

[0053] After obtaining the scoring results corresponding to multiple historical fiber test data of the first area, a weighted sum is performed based on the multiple scoring results to obtain the driving force index corresponding to the first area, wherein the first weight corresponding to the historical fiber test data corresponding to the same fiber is the same. For the case where the value of K is greater than 1, for each fiber, the average value can be calculated based on the K scoring results corresponding to the current fiber, and the obtained result is determined as the scoring result corresponding to the current fiber. Then, for Q optical fibers, a weighted sum is performed based on the scoring result corresponding to each optical fiber and the first weight to determine the driving force index corresponding to the first area. Alternatively, a weighted sum is directly performed based on the scoring results corresponding to each historical fiber test data and the first weight to determine the driving force index corresponding to the first area.

[0054] The scoring model can be a specific model for determining the optical fiber score for the optical fiber, or it can be an RBF neural network model (i.e., radial basis function neural network model) or a differential evolution neural network model. The first weight corresponding to the optical fiber can be associated with the optical fiber type and the location of the optical fiber. For example, the first weight corresponding to the trunk optical fiber is the largest, and the first weights of other optical fibers are all smaller than the first weight corresponding to the trunk optical fiber, and the closer the distance to the trunk optical fiber is, the greater the first weight of the optical fiber.

[0055] The above process is introduced below through a specific example. The first area corresponds to Q optical fibers, and each optical fiber corresponds to 12 historical optical fiber test data within a year. The 12 historical optical fiber test data are the historical optical fiber test data corresponding to the 12 months in the past year. For each optical fiber, the 12 historical optical fiber test data corresponding to the current optical fiber are converted into corresponding input vectors. For example, a historical optical fiber test data includes the following information: the city to which the optical fiber belongs is city A, the area to which the optical fiber belongs is the first area 1, the optical fiber ID is AD001, the number of complaints about the optical fiber line is 2, the number of repairs of the optical fiber line is 1, the number of errors reported by the optical fiber line is 1, the number of breakpoints in the optical fiber is 10, the number of attenuation points is 8, the total attenuation of the optical fiber is 0.25db / km, and the average attenuation value of the optical fiber is 0.12db / km. Then, the field values ​​with specific numerical values ​​in the historical optical fiber test data are taken to form the input vector of the historical optical fiber test data [2 1 1 10 8 0.25 0.12]. The input vectors corresponding to the above 12 historical optical fiber test data are respectively input into the scoring model to obtain 12 scoring results. The scoring result corresponding to the current optical fiber can be obtained by calculating the average of the above 12 scoring results. Similarly, the scoring results corresponding to Q optical fibers can be obtained, and then the driving force index corresponding to the first area is obtained by performing weighted summation based on the scoring results corresponding to the Q optical fibers and the first weight.

[0056] Alternatively, after obtaining 12 scoring results for each optical fiber, a weighted sum operation is performed according to 12*Q scoring results and Q first weights to obtain the driving force index corresponding to the first region.

[0057] Wherein, for the case where the scoring model is a specific model for determining the optical fiber score for the optical fiber, the scoring model can be as follows: scoring result = 1*proportion of high-quality cores + 0.8*proportion of general cores + 0.5*proportion of high-loss cores. At this time, the score needs to be determined based on the proportion of high-quality cores, general cores and high-loss cores in the optical fiber, and the historical optical fiber test data needs to include the proportion of high-quality cores, general cores and high-loss cores. Wherein, according to the theoretical length of the optical fiber and the analysis length of the optical fiber, it can be judged whether the optical fiber is an interrupted optical fiber with a breakpoint, and the interrupted optical fiber judged can be ignored. High-quality cores, general cores and high-loss cores are distinguished by attenuation values. For example, according to the average attenuation value of the optical fiber and the set division threshold, high-quality cores, general cores and high-loss cores can be judged. Wherein, when determining the first weight corresponding to the optical fiber, the first weight of the trunk optical fiber can be set to the maximum value, and then the first weights corresponding to other optical fibers are set based on the distance between other optical fibers and the trunk optical fiber. For example, the first area corresponds to multiple blocks, the trunk optical fiber is located in block 1, the first weight corresponding to the optical fiber in block 1 is the largest, the first weight corresponding to the optical fiber in block 2 adjacent to block 1 is the second largest, and the farther the distance from block 1, the smaller the first weight corresponding to the optical fiber.

[0058] In the above implementation process of the present application, by obtaining the scoring results corresponding to multiple historical optical fiber test data in the first area, respectively, determining the driving force index corresponding to the first area according to the scoring results and the first weight corresponding to each optical fiber in the first area, the driving force index can be obtained based on the optical fiber quality score and the optical fiber weight.

[0059] In an optional embodiment of the present application, when determining the state indicator corresponding to the first area according to the plurality of historical optical fiber test data in the optical fiber test data set corresponding to the first area, it includes:

[0060] Determine at least one of the number of fiber optic line complaints, the number of fiber optic line repairs, and the number of fiber optic line errors corresponding to the first area in the first period of time according to at least one of the fiber optic line complaint record information, the fiber optic line maintenance record information, and the fiber optic line error report record information corresponding to the first area in the first period of time;

[0061] A status indicator corresponding to the first area is determined based on at least one of the number of fiber optic line complaints, the number of fiber optic line maintenances, and the number of fiber optic line errors corresponding to the first area in the first time period.

[0062] When determining the status indicator corresponding to the first area, at least one of the optical fiber line complaint record information, optical fiber line maintenance record information, and optical fiber line error record information corresponding to each optical fiber in the first area in the first time period is obtained based on multiple historical optical fiber test data corresponding to the first area in the first time period, and then at least one of the optical fiber line complaint record information, optical fiber line maintenance record information, and optical fiber line error record information corresponding to the multiple optical fibers in the first area in the first time period is aggregated to obtain at least one of the optical fiber line complaint record information, optical fiber line maintenance record information, and optical fiber line error record information corresponding to the first area in the first time period, and then at least one of the number of optical fiber line complaints, optical fiber line maintenance times, and optical fiber line error times corresponding to the first area in the first time period is determined based on the obtained information.

[0063] The state index corresponding to the first area is determined according to at least one of the number of fiber optic line complaints, the number of fiber optic line repairs, and the number of fiber optic line errors corresponding to the first area in the first time period. When determining the state index corresponding to the first area according to the number of fiber optic line complaints, the number of fiber optic line repairs, or the number of fiber optic line errors corresponding to the first area in the first time period, the number can be directly determined as the state index, or the state index can be determined based on the number using the first calculation method. When determining the state index corresponding to the first area according to at least two of the number of fiber optic line complaints, the number of fiber optic line repairs, and the number of fiber optic line errors corresponding to the first area in the first time period, the number can be directly accumulated to determine the state index, or the state index can be determined based on at least two numbers using the second calculation method.

[0064] In the above implementation process of the present application, at least one of the number of fiber optic line complaints, the number of fiber optic line maintenance and the number of fiber optic line errors corresponding to the first area in the first time period is obtained based on historical fiber optic test data, and the status indicator corresponding to the first area is determined based on the obtained information. It is possible to determine the status indicator based on at least one of the fiber optic line complaint situation, maintenance situation and error situation.

[0065] In an optional embodiment of the present application, when determining the response index corresponding to the first area according to a plurality of historical optical fiber test data in the optical fiber test data set corresponding to the first area, it includes:

[0066] Determine, according to the optical fiber line error report record information corresponding to the first area in the first time period, a first average time for maintenance personnel to arrive at the optical fiber site and a second average time for optical fiber maintenance to be completed corresponding to P optical fiber line error reports, where P is the number of optical fiber line error reports corresponding to the first area in the first time period, and the value of P is greater than or equal to 1;

[0067] A response index corresponding to the first area is determined according to the first average duration, the second average duration, and an optical fiber maintenance plan factor corresponding to the first area.

[0068] When determining the response index corresponding to the first area, the optical fiber line error record information corresponding to each optical fiber in the first area in the first time period is obtained based on the multiple historical optical fiber test data corresponding to the first area, and then the optical fiber line error record information corresponding to the multiple optical fibers in the first area in the first time period is aggregated to obtain the optical fiber line error record information corresponding to the first area in the first time period, and then based on the obtained information, the number of optical fiber line errors P corresponding to the first area in the first time period, as well as the first average time for maintenance personnel to arrive at the optical fiber site and the second average time for the optical fiber to complete maintenance corresponding to the P optical fiber line errors are determined.

[0069] Then, the response index corresponding to the first area is determined according to the first average duration, the second average duration, and the optical fiber maintenance plan factor corresponding to the first area. Wherein, when there is a mature plan for optical fiber maintenance in the first area, the optical fiber maintenance plan factor is the first factor, and when there is no mature plan for optical fiber maintenance in the first area, the optical fiber maintenance plan factor is the second factor; for example, the first factor is 1, and the second factor is 0. When determining the response index corresponding to the first area according to the first average duration, the second average duration, and the optical fiber maintenance plan factor corresponding to the first area, the weights corresponding to the first average duration, the second average duration, and the optical fiber maintenance plan factor can be determined respectively, and the weighted sum of the first average duration, the second average duration, the optical fiber maintenance plan factor, and the corresponding weights can be performed to determine the response index corresponding to the first area.

[0070] For example, the first area 1 includes Q optical fibers, and the Q optical fibers are quantified from the following aspects: 1. According to the optical fiber line error record information corresponding to the first area 1 in the first period, determine the average time 1 for maintenance personnel to arrive at the optical fiber site after P errors; 2. According to the optical fiber line error record information corresponding to the first area 1 in the first period, determine the average time 2 for the optical fiber corresponding to the P errors to complete the maintenance and return to normal; 3. Whether there is a mature plan for optical fiber maintenance in this area, if so, the optical fiber maintenance plan factor is 1, and if not, the optical fiber maintenance plan factor is 0. By weighted summing the average time 1, the average time 2 and the optical fiber maintenance plan factor in the third point, the response index corresponding to the first area 1 can be obtained.

[0071] The above-mentioned implementation process of the present application obtains the first average duration and the second average duration based on the historical optical fiber test data, and determines the status indicator corresponding to the first area based on the first average duration, the second average duration and the optical fiber maintenance plan factor of the first area, so as to realize the determination of the response indicator based on the optical fiber line error situation and the optical fiber maintenance plan.

[0072] In an embodiment of the present application, when obtaining the pressure index corresponding to the first area according to the driving force index corresponding to the first area and the driving force indexes corresponding to other areas adjacent to the first area, the method includes:

[0073] Determine second weights respectively corresponding to the first area and at least one area adjacent to the first area;

[0074] A weighted sum is performed according to the driving force index and the second weight corresponding to the first area and the driving force index and the second weight respectively corresponding to at least one area adjacent to the first area to obtain the pressure index corresponding to the first area.

[0075] When obtaining the corresponding pressure index for the first area, it is necessary to base it on the driving force index corresponding to the first area and the driving force index corresponding to the neighboring area, where the neighboring area is at least one other first area adjacent to the current first area. For the current first area and at least one other first area adjacent to the current first area, determine the second weight corresponding to each area, and the second weight corresponding to the current first area is the largest. The second weight can be determined based on experience, and the cumulative value of multiple second weights is 1. Then, according to the driving force index corresponding to each area and the second weight, weighted summation is performed to obtain the pressure index corresponding to the current first area.

[0076] It should be noted that when determining the adjacent areas of the first area, it is generally determined whether the number of optical fibers directly connected between the optical fibers of the two areas is large. For example, the first area 2 has the largest number of optical fibers directly connected to the optical fibers in the current first area, and the first area 5 has the second largest number of optical fibers directly connected to the optical fibers in the current first area, then the first area 2 and the first area 5 are determined as adjacent areas of the current first area.

[0077] When determining the second weights of the current first area and the neighboring area corresponding to the current first area, the second weights corresponding to each neighboring area may be determined according to the number of optical fibers in direct connection with the optical fiber in the current first area in each neighboring area, for at least one neighboring area corresponding to the current first area. For example, the neighboring areas of the current first area include the first area 2 and the first area 5, and the number of optical fibers in the first area 2 that are directly connected with the optical fiber in the current first area is the largest, then the second weight corresponding to the current first area is set to 1 / 2, the second weight corresponding to the first area 2 is set to 1 / 3, and the second weight corresponding to the first area 5 is set to 1 / 6.

[0078] In the above implementation process of the present application, the pressure index corresponding to the first area is determined by performing weighted summation based on the driving force index corresponding to the first area and the neighboring area respectively and the second weight, so as to aggregate the driving force index of the current area and the neighboring area to determine the pressure index.

[0079] In one embodiment of the present application, based on the optical fiber quality evaluation indicators corresponding to the N first areas respectively, determining the optical fiber quality parameters corresponding to the N first areas respectively includes: inputting the optical fiber quality evaluation indicators corresponding to the N first areas respectively into an evaluation indicator model to obtain the optical fiber quality parameters corresponding to the N first areas respectively.

[0080] After determining the optical fiber quality evaluation index corresponding to each of the N first areas, including the driving force index, the state index, the response index, the pressure index and the influence index, the optical fiber quality evaluation index corresponding to each first area is respectively input into the evaluation index model to obtain the optical fiber quality parameters corresponding to each first area.

[0081] It should be noted that the evaluation index model can be a DPSIR (driving forces-pressure-state-impact-response) model. The process of inputting the fiber quality evaluation index into the DPSIR model to determine the fiber quality parameters can be understood as: calculating the fiber quality evaluation index according to the fuzzy membership function corresponding to the DPSIR model, and determining the fiber quality parameters based on the weighted sum of the calculation results. The fuzzy membership function corresponding to the DPSIR model can be in the following form:

[0082]

[0083] Among them, xi represents the value of the i-th indicator, such as x1 represents the value of the driving force indicator, x2 represents the value of the pressure indicator, x3 represents the value of the state indicator, x4 represents the value of the influence indicator, and x5 represents the value of the response indicator; Dij represents the j-th level threshold of the i-th indicator, Di (j+1) represents the j+1th level threshold of the ith indicator; taking x1 as an example, the value of the driving force indicator, y1 can be calculated according to the above formula. 11 Indicates the first level threshold of the first indicator, such as 0.5, D 12 represents the second level threshold of the first indicator, such as 0.55. When the maximum value of j is 3, D 13 It represents the third level threshold of the first indicator, such as 0.6. The corresponding y is obtained for the other four indicators in the same manner as above, so that the values ​​of y1 to y5 can be obtained, and weighted summation (such as the weights of the five values ​​are all 0.2) is performed to obtain the fiber quality parameters.

[0084] In the above implementation process of the present application, after obtaining the optical fiber quality evaluation indicators corresponding to the N first regions, including the driving force indicator, the state indicator, the response indicator, the pressure indicator and the influence indicator, the optical fiber quality evaluation indicators are input into the evaluation indicator model, so as to determine the optical fiber quality parameters corresponding to each first region through the model.

[0085] In one embodiment of the present application, after determining the optical fiber quality parameters corresponding to the N first regions respectively, the method further includes: dividing the optical fiber quality parameters corresponding to the N first regions respectively into a first optical fiber quality parameter and a second optical fiber quality parameter based on a preset optical fiber quality parameter threshold; displaying the first optical fiber quality parameter in a first display style and displaying the second optical fiber quality parameter in a second display style;

[0086] The first optical fiber quality parameter is greater than or equal to the preset optical fiber quality parameter threshold, and the second optical fiber quality parameter is less than the preset optical fiber quality parameter threshold.

[0087] After determining the optical fiber quality parameters corresponding to the N first areas, the N optical fiber quality parameters are classified, specifically: based on a preset optical fiber quality parameter threshold, the optical fiber quality parameters corresponding to the N first areas are divided into a first optical fiber quality parameter greater than or equal to the preset optical fiber quality parameter threshold and a second optical fiber quality parameter less than the preset optical fiber quality parameter threshold.

[0088] After determining the first optical fiber quality parameter and the second optical fiber quality parameter through classification, the first optical fiber quality parameter is displayed in a first display style and the second optical fiber quality parameter is displayed in a second display style on a screen connected to the server, so as to visually display some analysis results, so that relevant managers can view the optical fiber quality parameters of each area and distinguish different types of optical fiber quality parameters based on the display style.

[0089] Among them, the first display style and the second display style can be different colors, different fonts, etc. For example, the font color corresponding to the first optical fiber quality parameter is green, and the font color corresponding to the second optical fiber quality parameter is red, so that relevant managers can distinguish different optical fiber quality parameters by color, and it is also convenient for deployment testers to determine the optical fiber that needs maintenance based on different colors.

[0090] In one embodiment of the present application, after determining the optical fiber quality parameters corresponding to the N first areas respectively, the method further includes: for each of the N first areas, based on the optical fiber quality parameter corresponding to the first area in the first time period and the historical optical fiber quality parameter corresponding to the first area in the third time period, determining a quality parameter change result corresponding to the first area, wherein the third time period is before the first time period; and determining an optical fiber maintenance level corresponding to the first area according to the quality parameter change result corresponding to the first area;

[0091] The quality parameter change result is positively correlated with the optical fiber maintenance level.

[0092] In this embodiment, the fiber quality parameters corresponding to the N first areas are the fiber quality parameters corresponding to the N first areas in the first time period. After determining the fiber quality parameters corresponding to the N first areas in the first time period, the historical fiber quality parameters corresponding to the first area in the third time period can be obtained for each of the N first areas. The third time period is located before the first time period, can be continuous with the first time period, and the duration corresponding to the third time period can be equal to the duration corresponding to the first time period. For example, the fiber quality parameters corresponding to the first area in the first time period are the fiber quality parameters corresponding to the first area in the most recent year, and the fiber quality parameters corresponding to the first area in the third time period are the fiber quality parameters corresponding to the first area from 2 years ago to 1 year ago.

[0093] For each of the N first areas, the quality parameter change result corresponding to the first area can be determined based on the fiber quality parameter corresponding to the first area in the first time period and the historical fiber quality parameter corresponding to the third time period. The quality parameter change result can be a quality parameter change rate or a change value. After determining the quality parameter change result corresponding to the first area, the fiber maintenance level corresponding to the first area is determined based on the quality parameter change result corresponding to the first area, and the larger the quality parameter change result, the higher the fiber maintenance level, so as to achieve priority maintenance of the optical fiber with a larger quality parameter change.

[0094] When obtaining the historical fiber quality parameters corresponding to the N first areas in the third time period, they can be obtained in the historical fiber quality parameter set. For each of the N first areas, after determining the quality parameter change result corresponding to the first area, the quality parameter change result can be compared with a preset quality parameter change threshold, and the corresponding fiber maintenance level can be determined according to the comparison result. Alternatively, the fiber maintenance level can be determined in a first mapping list storing the corresponding relationship between the quality parameter change situation and the fiber maintenance level situation according to the quality parameter change result.

[0095] The following describes the process of determining the optical fiber maintenance level corresponding to the first area by taking the comparison of the quality parameter change result corresponding to the first area with the preset quality parameter change threshold as an example. For the first area 1, the historical optical fiber quality parameters corresponding to the time interval from 2 years ago to 1 year ago are obtained, and the optical fiber quality parameters corresponding to the first area 1 in the past year are compared with the historical optical fiber quality parameters. When comparing, the optical fiber quality parameters corresponding to the first area 1 can be subtracted from the historical optical fiber quality parameters to obtain the quality parameter change value corresponding to the first area, or the optical fiber quality parameters corresponding to the first area 1 can be subtracted from the historical optical fiber quality parameters and then divided by the historical optical fiber quality parameters to obtain the quality parameter change rate corresponding to the first area. A preset quality parameter change threshold is pre-stored in the server, where the preset quality parameter change threshold can be a change value or a change rate. When the quality parameter change value corresponding to the first area is greater than or equal to the preset quality parameter change threshold (parameter change value), or the quality parameter change rate corresponding to the first area is greater than or equal to the preset quality parameter change threshold (parameter change rate), it is determined that the optical fiber maintenance level corresponding to the quality parameter change result of the first area 1 is level one (indicating that the maintenance level is high and timely maintenance is required). When the quality parameter change result corresponding to the first area is less than the preset quality parameter change threshold, it is determined that the optical fiber maintenance level corresponding to the quality parameter change result of the first area 1 is level two (indicating that the maintenance level is low and timely maintenance is not required. After the optical fiber in the area with the first optical fiber maintenance level is maintained, the optical fiber in the area with the second optical fiber maintenance level is maintained).

[0096] It should be noted that the preset quality parameter change threshold can be adjusted based on actual conditions. For example, a more reasonable value is first determined, and then the optical fiber maintenance level corresponding to each first area is determined based on this set threshold. The technician then checks whether there is actually a fault in the optical fiber that requires maintenance. If the technician checks that there is no problem with the optical fiber, and the optical fiber maintenance level determined based on the threshold is level one (requiring timely maintenance), then the preset quality parameter change threshold needs to be adjusted. Specifically, it can be increased (because it is too low, resulting in misjudgment). If the optical fiber does have a fault, it can be appropriately lowered or left unchanged.

[0097] The above example is to calculate the optical fiber maintenance level corresponding to each first area. In specific implementation, it can also be specifically refined to calculate the optical fiber maintenance level corresponding to multiple blocks in the first area, so as to determine the optical fiber maintenance level of each block in a finer granularity.

[0098] In the above implementation process of the present application, the quality parameter change result corresponding to the first area is determined by comparing the optical fiber quality parameters, and the optical fiber maintenance level corresponding to the first area is determined based on the quality parameter change result. The optical fiber maintenance priority can be determined based on the optical fiber quality change, so as to give priority to optical fiber maintenance for optical fibers that are in urgent need of maintenance.

[0099] Optionally, after determining the optical fiber maintenance levels respectively corresponding to the N first areas, an optical fiber quality parameter adjustment value corresponding to each first area in the N first areas can be determined according to the optical fiber maintenance level corresponding to the first area; and according to the optical fiber quality parameter adjustment value corresponding to the first area, the optical fiber quality parameter corresponding to the first area can be adjusted.

[0100] After determining the fiber maintenance levels corresponding to the N first areas, respectively, the fiber quality parameter adjustment value corresponding to the first area can be determined for each of the N first areas according to the fiber maintenance level corresponding to the first area. When determining the fiber quality parameter adjustment value according to the fiber maintenance level, the fiber quality parameter adjustment value can be determined based on the fiber maintenance level corresponding to the first area in the second mapping list storing the correspondence between the fiber maintenance level and the fiber quality parameter adjustment value, wherein the higher the fiber maintenance level, the larger the fiber quality parameter adjustment value. After determining the fiber quality parameter adjustment value corresponding to the first area, when adjusting the fiber quality parameter corresponding to the first area based on the fiber quality parameter adjustment value, since the fiber quality parameter corresponding to the first area is determined based on the fiber quality evaluation index corresponding to the first area, and the fiber quality evaluation index is determined based on the fiber test data, adjusting the fiber quality parameter corresponding to the first area is actually to adjust the parameters of multiple optical fibers in the first area to obtain new fiber test data, and then determine the new fiber quality parameter. The parameter adjustment can be performed on the basis of the original fiber quality parameter corresponding to the first area based on the fiber quality parameter adjustment value. For example, if the optical fiber quality parameter corresponding to the first area increases compared to the historical optical fiber quality parameter, the optical fiber quality parameter corresponding to the first area can be updated by adjusting the parameters of the multiple optical fibers in the first area, and the optical fiber quality parameter can be reduced based on the original optical fiber quality parameter corresponding to the first area.

[0101] Optionally, after determining the optical fiber maintenance levels corresponding to the N first areas respectively, the complaint information processing priorities corresponding to the N first areas respectively can also be determined according to the optical fiber maintenance levels corresponding to the N first areas respectively; wherein the optical fiber maintenance level is positively correlated with the complaint information processing priority.

[0102] After determining the optical fiber maintenance levels corresponding to the N first areas respectively, the complaint information processing priority corresponding to the first area can be determined for each of the N first areas according to the optical fiber maintenance level corresponding to the first area. The optical fiber maintenance level is positively correlated with the complaint information processing priority, that is, the higher the optical fiber maintenance level, the higher the complaint information processing priority.

[0103] For example, if optical fiber A is a faulty optical fiber, its corresponding optical fiber maintenance level is higher, its complaint information is more credible, and the higher the processing priority, the complaint information should be processed first; optical fiber B and optical fiber C are connected to optical fiber A. Because optical fiber A already has problems, the problems of optical fiber B and optical fiber C are likely caused by optical fiber A. The processing priority of user complaint information of optical fiber B and optical fiber C is relatively low, and the fault of optical fiber A should be processed first.

[0104] In the above implementation process of the present application, after determining the optical fiber maintenance levels corresponding to N first areas respectively, the optical fiber quality parameter adjustment values ​​corresponding to the first areas are determined based on the optical fiber maintenance levels, and the optical fiber quality parameters corresponding to the first areas are updated based on the optical fiber quality parameter adjustment values, thereby realizing updating of the optical fiber quality parameters based on the optical fiber maintenance levels; and the complaint information processing priority is determined based on the optical fiber maintenance levels, so that the complaint information corresponding to the areas with high optical fiber maintenance levels can be processed preferentially.

[0105] The optical fiber data analysis method provided by the present application is introduced below through a specific example. Figure 2 As shown, the following steps are included:

[0106] Step 201: Group the historical optical fiber test data corresponding to the target area in the first period, and obtain optical fiber test data sets corresponding to N first areas.

[0107] Step 202: Obtain optical fiber quality evaluation indicators corresponding to the N first regions respectively according to the optical fiber test data sets corresponding to the N first regions respectively, and determine optical fiber quality parameters corresponding to the N first regions respectively according to the optical fiber quality evaluation indicators corresponding to the N first regions respectively.

[0108] Step 203: divide the optical fiber quality parameters corresponding to the N first regions into first optical fiber quality parameters and second optical fiber quality parameters, display the first optical fiber quality parameters in a first display mode, and display the second optical fiber quality parameters in a second display mode.

[0109] Step 204: for each of the N first areas, determine a quality parameter change result corresponding to the first area, and determine an optical fiber maintenance level corresponding to the first area according to the quality parameter change result corresponding to the first area. After step 204, perform at least one of step 205 and step 206.

[0110] Step 205: for each first area, determine the optical fiber quality parameter adjustment value corresponding to the first area according to the optical fiber maintenance level corresponding to the first area, and adjust the optical fiber quality parameter corresponding to the first area according to the optical fiber quality parameter adjustment value corresponding to the first area.

[0111] Step 206: Determine the complaint information processing priorities corresponding to the N first areas respectively according to the optical fiber maintenance levels corresponding to the N first areas respectively.

[0112] The above implementation process can analyze the optical fiber quality in different regions, facilitate the deployment of test personnel to understand the optical fiber status in different areas, and improve the efficiency and effectiveness of optical fiber maintenance work from the perspective of big data analysis.

[0113] The above is the overall implementation process of the optical fiber data analysis method provided in the embodiment of the present application, by obtaining the historical optical fiber test data corresponding to the target area in the first time period, grouping the obtained historical optical fiber test data, obtaining the optical fiber test data sets corresponding to the N first areas in the first time period, obtaining the optical fiber quality evaluation indicators corresponding to the N first areas according to the N optical fiber test data sets, and determining the optical fiber quality parameters corresponding to the N first areas according to the optical fiber quality evaluation indicators corresponding to the N first areas, so as to realize centralized analysis of the historical optical fiber test data of each first area in a grouping manner, and obtain the optical fiber quality conditions of different first areas, so that relevant management personnel can obtain the optical fiber quality of the entire target area, and can conveniently deploy test personnel to perform optical fiber maintenance, thereby improving the efficiency and effectiveness of optical fiber maintenance work from the perspective of big data analysis.

[0114] Furthermore, the present application can obtain a driving force index based on the optical fiber quality score and the optical fiber weight, determine a status index based on at least one of the optical fiber line complaints, maintenance conditions, and error conditions, determine a response index based on the optical fiber line error conditions and the optical fiber maintenance plan, and determine a pressure index based on the aggregation of the driving force indicators of the current area and the neighboring areas.

[0115] By distinguishing different types of fiber quality parameters based on display styles, some analysis results can be displayed visually, allowing relevant managers to distinguish different fiber quality parameters by color, and also making it easier for testers to determine the optical fibers that need maintenance based on different colors.

[0116] By determining the optical fiber maintenance level corresponding to the first area based on the results of the quality parameter changes, the optical fiber maintenance priority can be determined based on the optical fiber quality changes, so as to give priority to optical fiber maintenance for optical fibers that are in urgent need of maintenance; by determining the optical fiber quality parameter adjustment value corresponding to the first area based on the optical fiber maintenance level, and updating the optical fiber quality parameters corresponding to the first area based on the optical fiber quality parameter adjustment value, it is possible to update the optical fiber quality parameters based on the optical fiber maintenance level; by determining the complaint information processing priority based on the optical fiber maintenance level, complaint information corresponding to areas with high optical fiber maintenance levels can be processed preferentially.

[0117] The present application also provides an optical fiber data analysis device, which is applied to a server. Figure 3 As shown, including:

[0118] The grouping acquisition module 301 is used to group the historical optical fiber test data corresponding to the target area in the first time period, and obtain the optical fiber test data sets corresponding to N first areas in the first time period, wherein the target area includes N first areas, and N is an integer greater than or equal to 2;

[0119] An acquisition module 302 is used to acquire optical fiber quality evaluation indicators corresponding to the N first areas respectively according to the optical fiber test data sets corresponding to the N first areas respectively;

[0120] The first determination module 303 is used to determine the optical fiber quality parameters corresponding to the N first areas respectively according to the optical fiber quality evaluation indicators corresponding to the N first areas respectively.

[0121] Optionally, the acquisition module includes:

[0122] A first determination submodule, configured to determine, for each of the N first areas, a driving force index, a state index, and a response index corresponding to the first area according to a plurality of historical optical fiber test data in an optical fiber test data set corresponding to the first area;

[0123] an acquisition submodule, configured to acquire a pressure index corresponding to the first area according to the driving force index corresponding to the first area and driving force indexes corresponding to other areas adjacent to the first area;

[0124] A second determination submodule, configured to determine the impact index corresponding to the first area as a default impact parameter;

[0125] The third determination submodule is used to determine the optical fiber quality evaluation index corresponding to the first area according to the driving force index, state index, response index, pressure index and influence index corresponding to the first area.

[0126] Optionally, each piece of historical optical fiber test data includes at least the following test parameters: the region to which the optical fiber belongs, the optical fiber ID, the optical fiber line complaint record information in the corresponding second time period, the optical fiber line maintenance record information in the corresponding second time period, the optical fiber line error record information in the corresponding second time period, and the optical fiber breakpoints, optical fiber attenuation points, total optical fiber attenuation and average optical fiber attenuation in the corresponding second time period; each piece of historical optical fiber test data corresponds to a second time period, and the first time period includes at least one second time period.

[0127] Optionally, the first determining submodule includes:

[0128] A first acquisition unit, configured to input the plurality of historical optical fiber test data corresponding to the first region into a scoring model respectively, and obtain scoring results respectively corresponding to the plurality of historical optical fiber test data;

[0129] The first determining unit is used to determine a driving force index corresponding to the first area according to the scoring results corresponding to the plurality of historical optical fiber test data and the first weight corresponding to each optical fiber in the first area.

[0130] Optionally, the first determining submodule includes:

[0131] a second determining unit, configured to determine at least one of the number of fiber optic line complaints, the number of fiber optic line maintenance, and the number of fiber optic line error reports corresponding to the first area in the first period of time, based on at least one of the fiber optic line complaint record information, the fiber optic line maintenance record information, and the fiber optic line error report record information corresponding to the first area in the first period of time;

[0132] The third determination unit is used to determine the status indicator corresponding to the first area according to at least one of the number of fiber optic line complaints, the number of fiber optic line maintenance and the number of fiber optic line errors corresponding to the first area in the first time period.

[0133] Optionally, the first determining submodule includes:

[0134] a fourth determining unit, configured to determine, based on the optical fiber line error report record information corresponding to the first area in the first time period, a first average time for maintenance personnel to arrive at the optical fiber site and a second average time for the optical fiber to complete maintenance corresponding to P optical fiber line errors, where P is the number of optical fiber line errors corresponding to the first area in the first time period, and the value of P is greater than or equal to 1;

[0135] A fifth determining unit is used to determine a response indicator corresponding to the first area according to the first average duration, the second average duration, and the optical fiber maintenance plan factor corresponding to the first area.

[0136] Optionally, the acquisition submodule includes:

[0137] a sixth determining unit, configured to determine second weights respectively corresponding to the first area and at least one area adjacent to the first area;

[0138] The second acquisition unit is used to perform weighted summation according to the driving force index and the second weight corresponding to the first area and the driving force index and the second weight respectively corresponding to at least one area adjacent to the first area, so as to acquire the pressure index corresponding to the first area.

[0139] Optionally, the first determining module is further configured to:

[0140] The optical fiber quality evaluation indicators respectively corresponding to the N first regions are input into the evaluation indicator model to obtain the optical fiber quality parameters respectively corresponding to the N first regions.

[0141] Optionally, the device further comprises:

[0142] a dividing module, configured to divide the optical fiber quality parameters respectively corresponding to the N first regions into a first optical fiber quality parameter and a second optical fiber quality parameter based on a preset optical fiber quality parameter threshold after the first determining module determines the optical fiber quality parameters respectively corresponding to the N first regions;

[0143] A display module, configured to display the first optical fiber quality parameter in a first display mode and display the second optical fiber quality parameter in a second display mode;

[0144] The first optical fiber quality parameter is greater than or equal to the preset optical fiber quality parameter threshold, and the second optical fiber quality parameter is less than the preset optical fiber quality parameter threshold.

[0145] Optionally, the device further comprises:

[0146] a second determining module, configured to determine, for each of the N first areas, a quality parameter change result corresponding to the first area, after the first determining module determines the optical fiber quality parameters respectively corresponding to the N first areas, based on the optical fiber quality parameter corresponding to the first area in the first time period and the historical optical fiber quality parameter corresponding to the first area in a third time period, wherein the third time period is before the first time period;

[0147] A third determination module, configured to determine an optical fiber maintenance level corresponding to the first area according to a quality parameter change result corresponding to the first area;

[0148] The quality parameter change result is positively correlated with the optical fiber maintenance level.

[0149] Optionally, the device further comprises:

[0150] A fourth determination module is used to determine, for each first area of ​​the N first areas, an adjustment value of the optical fiber quality parameter corresponding to the first area according to the optical fiber maintenance level corresponding to the first area after the third determination module determines the optical fiber maintenance levels respectively corresponding to the N first areas;

[0151] The adjustment module is used to adjust the optical fiber quality parameter corresponding to the first area according to the optical fiber quality parameter adjustment value corresponding to the first area.

[0152] Optionally, the device further comprises:

[0153] A fifth determination module, configured to determine the complaint information processing priorities corresponding to the N first areas respectively according to the optical fiber maintenance levels corresponding to the N first areas respectively after the third determination module determines the optical fiber maintenance levels corresponding to the N first areas respectively;

[0154] Among them, the optical fiber maintenance level is positively correlated with the complaint information processing priority.

[0155] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0156] On the other hand, an embodiment of the present application further provides an electronic device, comprising a memory, a processor, a bus, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the above-mentioned optical fiber data analysis method when executing the program.

[0157] For example, Figure 4 FIG. 1 shows a schematic diagram of the physical structure of an electronic device. Figure 4As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430, and the processor 410 is used to perform the following steps: grouping the historical optical fiber test data corresponding to the target area in the first period, obtaining the optical fiber test data sets corresponding to N first areas respectively, wherein the target area includes N first areas, and N is an integer greater than or equal to 2; according to the optical fiber test data sets corresponding to the N first areas respectively, obtaining the optical fiber quality evaluation index corresponding to the N first areas respectively; according to the optical fiber quality evaluation index corresponding to the N first areas respectively, determining the optical fiber quality parameters corresponding to the N first areas respectively. The processor 410 may also perform other steps in this solution, which will not be described one by one here.

[0158] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0159] On the other hand, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps in the optical fiber data analysis method provided in the above embodiments are implemented.

[0160] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0161] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for analyzing optical fiber data, characterized in that: include: Grouping the historical optical fiber test data corresponding to the target area in the first time period, obtaining optical fiber test data sets corresponding to N first areas in the first time period, wherein the target area includes N first areas, and N is an integer greater than or equal to 2; According to the optical fiber test data sets respectively corresponding to the N first areas, obtaining optical fiber quality evaluation indicators respectively corresponding to the N first areas; Determining optical fiber quality parameters corresponding to the N first regions respectively according to optical fiber quality evaluation indicators corresponding to the N first regions respectively; The obtaining, according to the optical fiber test data sets respectively corresponding to the N first areas, optical fiber quality evaluation indicators respectively corresponding to the N first areas, comprises: For each first area among the N first areas, determining a driving force index, a state index, and a response index corresponding to the first area according to a plurality of historical optical fiber test data in an optical fiber test data set corresponding to the first area; acquiring a pressure index corresponding to the first area according to a driving force index corresponding to the first area and driving force indexes corresponding to other areas adjacent to the first area; Determining the impact indicator corresponding to the first area as a default impact parameter; Determine an optical fiber quality evaluation index corresponding to the first area according to a driving force index, a state index, a response index, a pressure index, and an impact index corresponding to the first area; Among them, each historical optical fiber test data includes at least the following test parameters: the area to which the optical fiber belongs, the optical fiber ID, the optical fiber line complaint record information in the corresponding second time period, the optical fiber line maintenance record information in the corresponding second time period, the optical fiber line error record information in the corresponding second time period, and the breakpoints, optical fiber attenuation points, total optical fiber attenuation and average optical fiber attenuation of the optical fiber in the corresponding second time period; each historical optical fiber test data corresponds to a second time period, and the first time period includes at least one second time period.

2. The method according to claim 1, characterized in that The determining, according to the plurality of pieces of historical optical fiber test data in the optical fiber test data set corresponding to the first area, a driving force index corresponding to the first area includes: Inputting the plurality of historical optical fiber test data corresponding to the first area into the scoring model respectively, and obtaining the scoring results respectively corresponding to the plurality of historical optical fiber test data; A driving force index corresponding to the first area is determined according to the scoring results corresponding to the plurality of historical optical fiber test data and the first weight corresponding to each optical fiber in the first area.

3. The method according to claim 1, characterized in that The determining, according to the plurality of pieces of historical optical fiber test data in the optical fiber test data set corresponding to the first area, a state indicator corresponding to the first area includes: Determine at least one of the number of fiber optic line complaints, the number of fiber optic line repairs, and the number of fiber optic line errors corresponding to the first area in the first period of time according to at least one of the fiber optic line complaint record information, the fiber optic line maintenance record information, and the fiber optic line error report record information corresponding to the first area in the first period of time; A status indicator corresponding to the first area is determined based on at least one of the number of fiber optic line complaints, the number of fiber optic line maintenances, and the number of fiber optic line errors corresponding to the first area in the first time period.

4. The method according to claim 1, characterized in that: The determining, according to the plurality of pieces of historical optical fiber test data in the optical fiber test data set corresponding to the first area, a response indicator corresponding to the first area includes: Determine, according to the optical fiber line error report record information corresponding to the first area in the first time period, a first average time for maintenance personnel to arrive at the optical fiber site and a second average time for optical fiber maintenance to be completed corresponding to P optical fiber line error reports, where P is the number of optical fiber line error reports corresponding to the first area in the first time period, and the value of P is greater than or equal to 1; A response index corresponding to the first area is determined according to the first average duration, the second average duration, and an optical fiber maintenance plan factor corresponding to the first area.

5. The method according to claim 1, characterized in that: The acquiring the pressure index corresponding to the first area according to the driving force index corresponding to the first area and the driving force indexes corresponding to other areas adjacent to the first area includes: Determine second weights respectively corresponding to the first area and at least one area adjacent to the first area; A weighted sum is performed according to the driving force index and the second weight corresponding to the first area and the driving force index and the second weight respectively corresponding to at least one area adjacent to the first area to obtain the pressure index corresponding to the first area.

6. The method according to claim 1, characterized in that The determining, according to the optical fiber quality evaluation indicators respectively corresponding to the N first regions, optical fiber quality parameters respectively corresponding to the N first regions comprises: The optical fiber quality evaluation indicators respectively corresponding to the N first regions are input into the evaluation indicator model to obtain the optical fiber quality parameters respectively corresponding to the N first regions.

7. The method according to claim 1, characterized in that After determining the optical fiber quality parameters respectively corresponding to the N first regions, the method further includes: Based on a preset optical fiber quality parameter threshold, dividing the optical fiber quality parameters corresponding to the N first regions into a first optical fiber quality parameter and a second optical fiber quality parameter; Displaying the first optical fiber quality parameter in a first display style and displaying the second optical fiber quality parameter in a second display style; The first optical fiber quality parameter is greater than or equal to the preset optical fiber quality parameter threshold, and the second optical fiber quality parameter is less than the preset optical fiber quality parameter threshold.

8. The method according to claim 1, characterized in that After determining the optical fiber quality parameters respectively corresponding to the N first regions, the method further includes: For each of the N first areas, determining a quality parameter change result corresponding to the first area based on the optical fiber quality parameter corresponding to the first area in the first time period and a historical optical fiber quality parameter corresponding to the first area in a third time period, wherein the third time period is before the first time period; Determining an optical fiber maintenance level corresponding to the first area according to a quality parameter change result corresponding to the first area; The quality parameter change result is positively correlated with the optical fiber maintenance level.

9. The method according to claim 8, characterized in that After determining the optical fiber maintenance levels respectively corresponding to the N first areas, the method further includes: For each first area among the N first areas, determining an optical fiber quality parameter adjustment value corresponding to the first area according to an optical fiber maintenance level corresponding to the first area; The optical fiber quality parameter corresponding to the first area is adjusted according to the optical fiber quality parameter adjustment value corresponding to the first area.

10. The method according to claim 8, characterized in that After determining the optical fiber maintenance levels respectively corresponding to the N first areas, the method further includes: Determining complaint information processing priorities corresponding to the N first areas respectively according to the optical fiber maintenance levels corresponding to the N first areas respectively; Among them, the optical fiber maintenance level is positively correlated with the complaint information processing priority.

11. An optical fiber data analysis device, characterized in that: include: A grouping acquisition module, used to group the historical optical fiber test data corresponding to the target area in the first time period, and obtain the optical fiber test data sets corresponding to N first areas in the first time period, wherein the target area includes N first areas, and N is an integer greater than or equal to 2; An acquisition module, configured to acquire optical fiber quality evaluation indicators corresponding to the N first areas respectively according to optical fiber test data sets corresponding to the N first areas respectively; A first determination module, configured to determine optical fiber quality parameters corresponding to the N first regions respectively according to optical fiber quality evaluation indicators corresponding to the N first regions respectively; The acquisition module comprises: A first determination submodule, configured to determine, for each of the N first areas, a driving force index, a state index, and a response index corresponding to the first area according to a plurality of historical optical fiber test data in an optical fiber test data set corresponding to the first area; an acquisition submodule, configured to acquire a pressure index corresponding to the first area according to the driving force index corresponding to the first area and driving force indexes corresponding to other areas adjacent to the first area; A second determination submodule, configured to determine the impact index corresponding to the first area as a default impact parameter; A third determination submodule, configured to determine an optical fiber quality evaluation index corresponding to the first area according to a driving force index, a state index, a response index, a pressure index, and an influence index corresponding to the first area; Among them, each historical optical fiber test data includes at least the following test parameters: the area to which the optical fiber belongs, the optical fiber ID, the optical fiber line complaint record information in the corresponding second time period, the optical fiber line maintenance record information in the corresponding second time period, the optical fiber line error record information in the corresponding second time period, and the breakpoints, optical fiber attenuation points, total optical fiber attenuation and average optical fiber attenuation of the optical fiber in the corresponding second time period; each historical optical fiber test data corresponds to a second time period, and the first time period includes at least one second time period.

12. An electronic device, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the optical fiber data analysis method according to any one of claims 1 to 10 are implemented.

13. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the optical fiber data analysis method according to any one of claims 1 to 10 are implemented.

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