Communication optical cable maintenance ticket generation method based on business influence range classification and sorting

Abstract

The invention provides a communication optical cable maintenance ticket generation method based on business influence range classification and sorting, and relates to the technical field of electric power communication network optical cable maintenance. According to the invention, the optical cable maintenance services are divided into the optical cable maintenance service groups, so that the sorting of a large number of optical cable maintenance services can be decomposed into the sorting of a small number of optical cable maintenance services in the groups, and the sorting complexity is reduced. And according to the importance score of the scoring index and the target weight, calculating a service score, thereby realizing automatic evaluation of the importance of the optical cable maintenance service. According to the invention, the intra-group sorting and the inter-group sorting are carried out on the optical cable maintenance service, so that hierarchical sorting of the optical cable maintenance service is realized, meanwhile, the sorting complexity is reduced, the sorting automation is realized, and the sorting efficiency is improved. According to the invention, the communication optical cable maintenance ticket is automatically generated, man-made interference is avoided, and the generation efficiency and accuracy of the communication optical cable maintenance ticket are improved.

Description

Technical Field

[0001] This invention relates to the field of optical cable maintenance technology for power communication networks, and in particular to a method for generating optical cable maintenance tickets based on a classification and sorting of service impact scope. Background Technology

[0002] With the rapid development of power communication networks, optical cables, as a key carrier of information transmission in power systems, directly affect the normal operation of power grid dispatching, relay protection, and automation services due to their stability and reliability. Optical cable maintenance tickets are indispensable standardized documents in power communication network maintenance operations. Their core function is to clarify the safety measures and business impact scope of maintenance tasks, ensuring a safe and controllable maintenance process. However, with the expansion of the power grid and the increasing complexity of communication services, the compliance and accuracy of optical cable maintenance work face higher requirements. Currently, the power industry has conducted in-depth research on the maintenance of power generation, transmission, and substation equipment, but research on maintenance technologies for communication network equipment (especially optical cables) remains relatively scarce. Particularly in the intelligent processing of the business impact scope in maintenance tickets, more efficient and precise technical means are urgently needed to support safe operation and maintenance.

[0003] To improve the standardization of fiber optic cable maintenance, existing power communication network maintenance systems have initially achieved partial automation. For example, they can automatically generate the associated service impact range based on the fiber optic cable maintenance equipment and formulate safety measures in the maintenance ticket based on preset rules. These systems, by associating fiber optic cable topology, carried services, and equipment dependencies, can output a list of affected services and basic safety requirements, providing a reference for maintenance personnel. Furthermore, some systems support automatic matching of historical maintenance cases or standard templates after manual entry of maintenance plans, assisting in generating preliminary content for maintenance tickets. These technologies, to a certain extent, reduce the workload of manually compiling maintenance tickets and improve the completeness of basic information.

[0004] Although existing systems can automatically generate the scope of business impact and basic security measures, manual operation is still required in key areas, especially in the classification (e.g., by business priority, impact period, risk level) and sequencing (e.g., by urgency, operation order, etc.). These still require maintenance personnel to manually process each item. Because optical cables carry a wide variety of services with complex relationships, manual classification and sequencing are not only time-consuming but also prone to errors due to human oversight or differences in experience, potentially leading to misoperation or service interruptions during maintenance. Furthermore, with the increasing complexity of power grid maintenance tasks and rising safety requirements, the traditionally manual generation of communication optical cable maintenance tickets is inefficient. Summary of the Invention

[0005] This invention provides a method for generating optical fiber maintenance tickets based on the classification and sorting of business impact scope, in order to solve the problem of low generation efficiency of optical fiber maintenance tickets in the prior art and improve the generation efficiency of optical fiber maintenance tickets.

[0006] This invention provides a method for generating communication optical cable maintenance tickets based on a classification and sorting of service impact scope, comprising: Within the scope of the business impact of optical cable maintenance, at least one optical cable maintenance business is classified and grouped to obtain at least one optical cable maintenance business group. In each optical cable maintenance business group, the scoring indicators and their target weights for each optical cable maintenance business are extracted, and the business score for each optical cable maintenance business is calculated based on the importance score of the scoring indicators and the target weights. Within each optical cable maintenance service group, the importance of each optical cable maintenance service is ranked based on the service score, resulting in the ranked optical cable maintenance services within the group. The importance of the fiber optic cable maintenance services within each group is ranked according to their importance among the groups, and maintenance tickets for communication fiber optic cables are obtained.

[0007] According to the communication optical cable maintenance ticket generation method based on business impact scope classification and sorting provided by the present invention, at least one optical cable maintenance service is classified and grouped to obtain at least one optical cable maintenance service group, including: Extract functional matching words for each optical cable maintenance service; In the category configuration table, the business category of each optical cable maintenance service is queried based on each function matching word to obtain the optical cable maintenance service set of each business category; the category configuration table includes the mapping relationship between each business category and each function matching word; In each optical cable maintenance service cluster, the optical cable maintenance services are grouped according to the cosine similarity between the texts of each optical cable maintenance service, resulting in at least one optical cable maintenance service group.

[0008] The communication optical cable maintenance ticket generation method based on business impact scope classification and sorting provided by the present invention, which obtains the business category of each optical cable maintenance service, further includes: If the business category of optical cable maintenance cannot be found in the category configuration table based on the function matching words, then the optical cable maintenance business is input into the category prediction model based on the TextCNN convolutional neural network to obtain the business category of optical cable maintenance output by the category prediction model. Among them, the category prediction model is used to extract text features of optical cable maintenance services, determine the predicted probability of optical cable maintenance services belonging to each specified category based on the text features, and take the specified category corresponding to the highest predicted probability as the service category of optical cable maintenance services.

[0009] According to the communication optical cable maintenance ticket generation method based on business impact scope classification and ranking provided by the present invention, the scoring index is extracted based on the following method: Based on a professional terminology dictionary for optical cable maintenance, forward maximum matching and reverse maximum matching algorithms are applied to optical cable maintenance to obtain forward matching and reverse matching results. When the number of word segments in the forward matching result is the same as the number of word segments in the reverse matching result, the effective word segments are selected from the reverse matching result to obtain the scoring index. When the number of word segments in the forward matching results is different from the number of word segments in the reverse matching results, the effective word segments are selected from the forward matching results or the reverse matching results with fewer word segments to obtain the scoring index.

[0010] According to the communication optical cable maintenance ticket generation method based on business impact scope classification and ranking provided by the present invention, the target weight is extracted in the following manner: In the optical cable maintenance business group, the analytic hierarchy process is used to generate a judgment matrix for the optical cable maintenance business group based on the importance coefficient between any two scoring indicators; the subjective weight of each scoring indicator is obtained based on the largest eigenvalue of the judgment matrix. In the optical cable maintenance business group, the objective weights of each scoring indicator are obtained based on the entropy method. The subjective and objective weights of the scoring indicators are calculated using Lagrange multipliers to obtain the target weights of each scoring indicator.

[0011] According to the communication optical cable maintenance ticket generation method based on business impact scope classification and ranking provided by the present invention, the objective weights of the scoring indicators are calculated in the following manner: In the optical cable maintenance business group, an indicator matrix is ​​constructed based on scoring indicators and optical cable maintenance business. In the indicator matrix, based on the importance score of the scoring indicator in each optical cable maintenance business, the weight of each value of the scoring indicator in each optical cable maintenance business is obtained. Calculate the k value based on the number of optical cable maintenance services based on the indicator matrix; Based on the k value and the weight of each value, the entropy value of the scoring index in each optical cable maintenance service is calculated. The objective weight of the scoring indicators is calculated based on the entropy value of the scoring indicators in various optical cable maintenance services.

[0012] According to the communication optical cable maintenance ticket generation method based on business impact scope classification and ranking provided by the present invention, the importance score of each scoring indicator is determined based on the following method: In historical optical cable maintenance tickets, the scoring criteria for each scoring indicator are determined based on the historical optical cable maintenance services that have been ranked in order of importance. The importance score of the scoring indicators is determined based on the actual values ​​of the scoring criteria and indicators in the optical cable maintenance business.

[0013] The present invention also provides a communication optical cable maintenance ticket generation device based on business impact scope classification and sorting, comprising: The classification and grouping module is used to classify and group at least one optical cable maintenance service within the scope of the business impact of optical cable maintenance, so as to obtain at least one optical cable maintenance service group. The scoring module is used to extract the scoring indicators and their target weights for each optical cable maintenance service in each optical cable maintenance service group, and to calculate the service score for each optical cable maintenance service based on the importance score of the scoring indicators and the target weight. The intra-group sorting module is used to sort the importance of each optical cable maintenance service in each optical cable maintenance service group based on the service score, and obtain the intra-group sorted optical cable maintenance services. The inter-group sorting module is used to sort the optical cable maintenance services within each group according to their importance and obtain communication optical cable maintenance tickets.

[0014] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements any of the above-described methods for generating communication optical cable maintenance tickets based on the classification and sorting of business impact scope.

[0015] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a communication optical cable maintenance ticket generation method based on any of the above-described business impact scope classification and sorting methods.

[0016] This invention provides a method for generating optical cable maintenance tickets based on the classification and ranking of business impact scope. The method involves classifying and grouping at least one optical cable maintenance service within its business impact scope to obtain at least one optical cable maintenance service group. Within each group, scoring indicators and target weights for each service are extracted, and a service score is calculated for each service based on the importance score of the scoring indicators and the target weights. Within each group, the services are ranked by importance based on their service scores, resulting in a ranked list within each group. Finally, the ranked services within each group are ranked by importance between groups to obtain the optical cable maintenance ticket. This invention reduces the complexity of ranking by dividing optical cable maintenance services into groups, breaking down the ranking of a large number of services into a smaller number within each group. The calculation of service scores based on the importance scores and target weights enables automatic evaluation of the importance of optical cable maintenance services. This invention achieves hierarchical sorting of optical cable maintenance tasks by sorting them within and between groups. This also reduces sorting complexity, automates the sorting process, and improves sorting efficiency. Furthermore, this invention automatically generates communication optical cable maintenance tickets, avoiding human interference and improving the efficiency and accuracy of ticket generation. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a flowchart illustrating the communication optical cable maintenance ticket generation method based on business impact scope classification and sorting provided by the present invention.

[0019] Figure 2 This is a schematic diagram of the structure of the TextCNN prediction model provided by the present invention.

[0020] Figure 3 This is a schematic diagram of the communication optical cable maintenance ticket generation device based on the classification and sorting of business impact scope provided by the present invention.

[0021] Figure 4 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0023] The following is combined Figures 1-4 This invention describes a method, apparatus, and electronic device for generating communication optical cable maintenance tickets based on a classification and sorting system according to the scope of business impact.

[0024] Figure 1 This is one of the flowcharts illustrating the communication optical cable maintenance ticket generation method based on business impact scope classification and sorting provided by the present invention, such as... Figure 1 As shown, the method for generating communication optical cable maintenance tickets based on the classification and sorting of business impact scope includes steps S100 to S400, and the specific steps are as follows.

[0025] S100: Within the scope of the business impact of optical cable maintenance, classify and group at least one optical cable maintenance business to obtain at least one optical cable maintenance business group.

[0026] Fiber optic cable maintenance services include the names of different categories of fiber optic cables requiring maintenance, such as communication cables, security cables, protection cables, automation cables, and other categories. The Fiber optic cable maintenance service group includes similar fiber optic cable maintenance services.

[0027] In the power communication network maintenance system, the location and optical path requiring maintenance are selected. The system then generates the service impact range for this optical cable maintenance task, encompassing all relevant optical cables. This allows the system to obtain all optical cable maintenance services within this service impact range.

[0028] All optical cable maintenance services within the scope of business impact are classified to obtain various optical cable maintenance service sets. Within each optical cable maintenance service set, optical cable maintenance services of the same category are grouped by shape similarity to obtain at least one optical cable maintenance service group.

[0029] S200: In each optical cable maintenance business group, extract the scoring indicators and their target weights for each optical cable maintenance business, and calculate the business score for each optical cable maintenance business based on the importance score of the scoring indicators and the target weights.

[0030] The scoring criteria include words in the text of the fiber optic cable maintenance service that reflect the importance of the service. The categories of scoring criteria may include, but are not limited to, voltage level, optical path start point, optical path end point, service category attributes, primary number, and secondary number. For example, the fiber optic cable maintenance service is a "dedicated remote control service line from the 500kV A-zone substation to the ultra-high voltage B-zone monitoring center." The scoring criteria include: 500kV, A-zone substation, ultra-high voltage, B-zone monitoring center, remote control service, and dedicated line.

[0031] The service score indicates the importance of fiber optic cable maintenance services. A higher service score indicates greater importance, while a lower score indicates less importance.

[0032] Within the optical cable maintenance service group, extract the scoring indicators for all similar optical cable maintenance services within the group. Then, calculate the target weight for each scoring indicator within the group. The target weight for each scoring indicator is obtained by fusing at least two or more weights for each indicator.

[0033] Based on the importance scores of each scoring indicator and the weights of each target, the business score of each optical cable maintenance service is calculated.

[0034] Specifically, the importance scores for each rating indicator are determined based on the following method: In historical optical cable maintenance tickets, the scoring criteria for each scoring indicator are determined based on the historical optical cable maintenance services that have been ranked in order of importance. The importance score of the scoring indicators is determined based on the actual values ​​of the scoring criteria and indicators in the optical cable maintenance business.

[0035] The scoring criteria include importance scores corresponding to different values ​​of the scoring indicator. For example, the scoring indicator is "voltage level". The scoring criteria include: the maximum importance score for "voltage level" is 30 points; the importance scores for "voltage level" of 500kV, 220kV, 110kV, 10kV, and 0.4kV are 30 points, 25 points, 20 points, 15 points, and 10 points, respectively.

[0036] In historical optical cable maintenance tickets, the scoring criteria for each scoring indicator are determined based on the historical optical cable maintenance services that have been ranked in order of importance.

[0037] Obtain the actual values ​​of the scoring indicators in the optical cable maintenance business. Based on the actual values ​​of the scoring indicators in the scoring criteria, determine the importance score of each indicator.

[0038] Based on historical optical cable maintenance experience, this invention determines the scoring criteria for each evaluation indicator and enables real-time updates and calibration of these criteria. By considering the scoring criteria and the actual values ​​of the evaluation indicators in optical cable maintenance, the importance score of each indicator is determined, comprehensively taking into account the varying importance of each indicator under different values, thus improving the accuracy and precision of the importance score.

[0039] Within the optical cable maintenance business group, the importance scores and target weights of the scoring indicators included in each optical cable maintenance business are weighted and summed to obtain the business score for each optical cable maintenance business.

[0040] S300: In each optical cable maintenance service group, the importance of each optical cable maintenance service is ranked based on the service score, resulting in the ranked optical cable maintenance services within the group.

[0041] Within each optical cable maintenance service group, the importance of each optical cable maintenance service within the group is ranked based on its service score, resulting in the ranked optical cable maintenance services within the group.

[0042] For example, within each optical cable maintenance service group, the optical cable maintenance services within the group are sorted according to their service scores from highest to lowest, resulting in the sorted optical cable maintenance services for each group.

[0043] S400: Sort the optical cable maintenance services within each group according to their importance and obtain the communication optical cable maintenance ticket.

[0044] A fiber optic cable maintenance ticket contains multiple ordered maintenance tasks. These tasks are prioritized according to their importance. Subsequent maintenance personnel use the ticket to determine the correct order for each task and then proceed with the maintenance.

[0045] All fiber optic cable maintenance service groups are ranked by importance. Further, the intra-group ranked fiber optic cable maintenance services are ranked by inter-group importance to obtain the final ranked list of all fiber optic cable maintenance services within their impact range, thus generating the communication fiber optic cable maintenance ticket.

[0046] The method for generating optical cable maintenance tickets based on the classification and ranking of business impact scope provided in this invention involves classifying and grouping at least one optical cable maintenance service within the scope of its business impact to obtain at least one optical cable maintenance service group. Within each optical cable maintenance service group, scoring indicators and their target weights are extracted, and a business score for each service is calculated based on the importance score of the scoring indicators and the target weights. Within each group, the importance of each service is ranked according to its business score, resulting in a ranked list of optical cable maintenance services within each group. Finally, the importance of the ranked services within each group is ranked between groups to obtain the optical cable maintenance ticket. This invention, by dividing optical cable maintenance services into groups, reduces the complexity of ranking a large number of services by breaking it down into ranking a smaller number of services within each group. Calculating the business score based on the importance score of the scoring indicators and the target weights automatically evaluates the importance of optical cable maintenance services. This invention achieves hierarchical sorting of optical cable maintenance tasks by sorting them within and between groups. This also reduces sorting complexity, automates the sorting process, and improves sorting efficiency. Furthermore, this invention automatically generates communication optical cable maintenance tickets, avoiding human interference and improving the efficiency and accuracy of ticket generation.

[0047] Based on the above embodiments, classifying and grouping at least one optical cable maintenance service to obtain at least one optical cable maintenance service group includes the following steps: Extract functional matching words for each optical cable maintenance service; In the category configuration table, the business category of each optical cable maintenance service is queried based on each function matching word to obtain the optical cable maintenance service set of each business category; the category configuration table includes the mapping relationship between each business category and each function matching word; In each optical cable maintenance service cluster, the optical cable maintenance services are grouped according to the cosine similarity between the texts of each optical cable maintenance service, resulting in at least one optical cable maintenance service group.

[0048] Functional matching terms are used to describe the functional attributes of optical cable maintenance services. Cosine similarity is used to measure the similarity between two optical cable maintenance services.

[0049] A category configuration table is pre-built. Based on historical data and manual experience, the mapping relationship between each service category and each functional matching term is set, resulting in the category configuration table. For example, service categories include communication, security and automation, protection, and automation. The functional matching terms for the communication category include scheduling, central dispatch, intermediate dispatch, and communication. The functional matching terms for the security and automation category include stability control, stability control, stability, and out-of-synchronization disconnection. The functional matching terms for the protection category include protection and Automatically Switched Optical Network (ASON). The functional matching terms for the automation category include automation and Multi-Service Transfer Platform (MSTP). The category configuration table is shown in Table 1.

[0050] Table 1

[0051] Extract the functional matching terms for each optical cable maintenance service. In the category configuration table, query the service category for each optical cable maintenance service based on each functional matching term. Obtain the optical cable maintenance service set for each service category. An optical cable maintenance service set contains optical cable maintenance services belonging to one service category.

[0052] Within each optical cable maintenance service dataset, the services are grouped based on the cosine similarity between their texts, resulting in at least one optical cable maintenance service group. The formula for calculating the cosine similarity is as follows.

[0053] ; in, This is used to centralize the fiber optic cable maintenance service. The total number of optical cable maintenance services is centralized for optical cable maintenance business. For fiber optic cable maintenance services and fiber optic cable maintenance services The cosine similarity.

[0054] Set a similarity threshold. In the optical cable maintenance service sets of each service category, two or more optical cable maintenance services with a cosine similarity greater than the similarity threshold are classified into the same optical cable maintenance service group (similar group).

[0055] This invention divides optical cable maintenance services into sets based on service categories, and further divides these sets into groups. This allows the sorting of a large number of optical cable maintenance services to be gradually decomposed into sorting within each group, reducing the complexity of sorting and facilitating the automatic sorting of a large number of optical cable maintenance services.

[0056] Based on the above embodiments, obtaining the service category of each optical cable maintenance service also includes the following steps: If the business category of optical cable maintenance cannot be found in the category configuration table based on the function matching words, then the optical cable maintenance business is input into the category prediction model based on the TextCNN convolutional neural network to obtain the business category of optical cable maintenance output by the category prediction model. Among them, the category prediction model is used to extract text features of optical cable maintenance services, determine the predicted probability of optical cable maintenance services belonging to each specified category based on the text features, and take the specified category corresponding to the highest predicted probability as the service category of optical cable maintenance services.

[0057] The specified category can be any business category in the category configuration table, or it can be another category specified manually.

[0058] If the business category of optical cable maintenance cannot be found in the category configuration table based on the function matching words, or if the function matching words cannot be extracted, the business category of optical cable maintenance is obtained through the category prediction model.

[0059] The category prediction model includes a Text Convolutional Neural Network (TextCNN). This model is trained based on the sample service category and the labels of the sample fiber optic cable maintenance services.

[0060] like Figure 2 As shown, the category prediction model includes an input layer, an embedding layer, a convolutional layer, a pooling layer, a fully connected layer, and an output layer.

[0061] The input layer is used to input text data related to fiber optic cable maintenance. The embedding layer is used to map the text data of the fiber optic cable maintenance business into a vector of a specific dimension using word embedding methods. The word embedding method directly affects the representation and classification of text data by the category prediction model.

[0062] Convolutional layers use a series of convolutional kernels to perform convolution operations on vectors of a specific dimension, thereby extracting local features at different scales and locations. In this process, the convolutional kernel slides along the vector of a specific dimension, multiplying element-wise with the word vectors within each window, and then summing the results to obtain the feature representation at that location. By adjusting the number and size of the convolutional kernels, the ability of the category prediction model to capture features at different scales can be increased, thereby improving the flexibility and performance of the category prediction model. This multi-scale convolution operation helps the category prediction model capture key information in vectors of a specific dimension, enabling it to better understand and process text data of different lengths and structures.

[0063] Pooling layers are used to simplify and generalize the local features generated by convolutional layers, resulting in pooled features. Pooling layers reduce the number of parameters and computational complexity required by class prediction models and prevent overfitting, thus improving the generalization ability of class prediction models. Optionally, pooling operations include max pooling or average pooling. By selecting the maximum value or taking the average value, pooling layers preserve key information in each local feature, enabling class prediction models to better understand and process text data.

[0064] The fully connected layer linearly combines the pooled features output from the pooling layer to obtain the text features for optical cable maintenance services. The fully connected layer also applies an appropriate activation function to convert the text features into predicted probabilities for each service category. This design allows the category prediction model to effectively reduce its parameters and simplify the computation process while retaining important information. Therefore, a well-designed fully connected layer can directly affect the classification accuracy and generalization ability of the category prediction model.

[0065] The category corresponding to the highest predicted probability will be used as the business category for optical cable maintenance.

[0066] When the business category for optical cable maintenance cannot be found in the category configuration table, this invention determines the business category through a category prediction model, thereby achieving a comprehensive classification of optical cable maintenance services and improving the accuracy and precision of the classification.

[0067] Table 2 provides a classification and grouping of some optical cable maintenance services, taking the "communication" and "security" categories as examples, and also provides examples of two similar groups.

[0068] Table 2

[0069] Based on the above embodiments, the scoring indicators are extracted in the following way: Based on a professional terminology dictionary for optical cable maintenance, forward maximum matching and reverse maximum matching algorithms are applied to optical cable maintenance to obtain forward matching and reverse matching results. When the number of word segments in the forward matching result is the same as the number of word segments in the reverse matching result, the effective word segments are selected from the reverse matching result to obtain the scoring index. When the number of word segments in the forward matching results is different from the number of word segments in the reverse matching results, the effective word segments are selected from the forward matching results or the reverse matching results with fewer word segments to obtain the scoring index.

[0070] Based on a terminology dictionary, various optical cable maintenance services are segmented to obtain word segments for each service. These word segments are then matched against the terminology dictionary to obtain the matching results.

[0071] The forward maximum matching algorithm scans the text string of the optical cable maintenance service from left to right, extracting words based on their length, until the entire text string is scanned. The extracted words are then matched against a terminology dictionary. If a match is found, the word is recorded; otherwise, it is ignored (not recorded). For example, the optical cable maintenance service is "500kV A-zone substation to ultra-high voltage B-zone monitoring center remote control dedicated line channel (MSTP)". The forward matching result would be "500kV / A-zone substation / to / ultra-high voltage / B-zone monitoring center / remote control / service / dedicated line / channel / (MSTP)".

[0072] The reverse maximum matching algorithm scans the text string of the optical cable maintenance service from right to left, extracting words based on their length, until the entire text string is scanned. The extracted words are then matched against a terminology dictionary. If a match is found, the word is recorded; otherwise, it is ignored. For example, the optical cable maintenance service is "500kV A-zone substation to ultra-high voltage B-zone monitoring center remote control dedicated line channel (MSTP)". The reverse matching result would be "500kV / A-zone substation / to / ultra-high voltage / B-zone monitoring center / remote control service / dedicated line channel / (MSTP)".

[0073] Optionally, the segment length can be adjusted during the matching process to adjust the precision of the matching results. For example, if no segment is matched after one round of scanning, the segment length can be reduced (e.g., the segment length can be reduced by 1), and segmentation and matching can continue.

[0074] The scoring metric is obtained based on the forward and reverse matching results. When the number of word segments in the forward and reverse matching results is the same, the effective word segments are selected from the reverse matching results to obtain the scoring metric. In most cases, the reverse matching results perform better. If the number of word segments is the same, the scoring metric is obtained based on the reverse matching results.

[0075] When the number of word segments in the forward matching result and the reverse matching result are different, the effective word segments are selected from the forward matching result or the reverse matching result with fewer word segments to obtain the scoring index. When the number of word segments in the forward matching result and the reverse matching result are different, the principle of minimizing word segmentation is followed; longer word segments are considered better matching results. For example, based on the matching results above, the number of word segments in the reverse matching result is less than the number of word segments in the forward matching result; the scoring index is obtained based on the reverse matching result.

[0076] Valid word segments are selected from the reverse matching results to obtain the scoring indicators. Valid word segments include those with important meaning or high information content. For example, if the reverse matching results include "500kV / A Zone Transformer / To / Ultra-High Voltage / B Zone Monitoring Center / Remote Control Service / Dedicated Line Channel / (MSTP)", removing the conjunction "To" from the reverse matching results leaves the scoring indicators. The scoring indicators include "500kV / A Zone Transformer / Ultra-High Voltage / B Zone Monitoring Center / Remote Control Service / Dedicated Line Channel / (MSTP)".

[0077] This invention achieves accurate extraction of word segments related to optical cable maintenance through a specialized terminology dictionary. By combining forward and reverse matching results, it achieves accurate screening of effective word segments, thereby improving the accuracy of determining scoring indicators.

[0078] Based on the above embodiments, the target weights are extracted in the following manner: In the optical cable maintenance business group, the analytic hierarchy process is used to generate a judgment matrix for the optical cable maintenance business group based on the importance coefficient between any two scoring indicators; the subjective weight of each scoring indicator is obtained based on the largest eigenvalue of the judgment matrix. In the optical cable maintenance business group, the objective weights of each scoring indicator are obtained based on the entropy method. The subjective and objective weights of the scoring indicators are calculated using Lagrange multipliers to obtain the target weights of each scoring indicator.

[0079] Using the analytic hierarchy process (AHP), the subjective weights of each scoring indicator in the optical cable maintenance service group are calculated. Within the optical cable maintenance service group, a judgment matrix is ​​generated based on the importance coefficient between any two scoring indicators. The judgment matrix is ​​as follows.

[0080] ; in, To determine the matrix, For the first The scoring metric is relative to the first The importance coefficient of each scoring indicator .

[0081] The values ​​of the importance coefficient and their meanings are shown in Table 3.

[0082] Table 3

[0083] The subjective weights of each scoring indicator in the optical cable maintenance service group are determined using the eigenvector method. Let the subjective weight vector of each scoring indicator be... From a mathematical perspective, the weight vector of the judgment matrix A... It is its largest eigenvalue The corresponding eigenvectors. This is determined by solving the characteristic equation. The eigenvectors can be obtained. Then, the eigenvectors are normalized (so that the sum of all their components is 1), and the subjective weights of each rating indicator can be obtained. .

[0084] In the optical cable maintenance business group, obtain the objective weights of each scoring indicator.

[0085] Specifically, the objective weights of the scoring indicators are calculated based on the following method: In the optical cable maintenance business group, an indicator matrix is ​​constructed based on scoring indicators and optical cable maintenance business. In the indicator matrix, based on the importance score of the scoring indicator in each optical cable maintenance business, the weight of each value of the scoring indicator in each optical cable maintenance business is obtained. Calculate the k value based on the number of optical cable maintenance services based on the indicator matrix; Based on the k value and the weight of each value, the entropy value of the scoring index in each optical cable maintenance service is calculated. The objective weight of the scoring indicators is calculated based on the entropy value of the scoring indicators in various optical cable maintenance services.

[0086] Within the optical cable maintenance business group, an indicator matrix is ​​constructed based on scoring metrics and optical cable maintenance tasks. For example, optical cable maintenance tasks are represented by rows, and scoring metrics by columns. The indicator matrix includes P optical cable maintenance tasks (P rows) and Q scoring metrics (Q columns). The formula for calculating the objective weight of each scoring metric is as follows.

[0087] ; in, The number is the rating indicator. This is the service number for fiber optic cable maintenance. This represents the total number of fiber optic cable maintenance services. For the first The scoring indicators are in the first place Importance score of each optical cable maintenance service (based on the importance score of the first optical cable maintenance service) The scoring indicators in the first (The actual value is determined in each optical cable maintenance service). For the first Objective weighting of scoring indicators For the first The first optical cable maintenance service The numerical weight of each scoring indicator, For the first The scoring indicators in the first Entropy value in optical cable maintenance services. For the first The scoring indicators in the first Variation index in optical cable maintenance services. Let k be the value.

[0088] This invention calculates the objective weight of each scoring indicator based on its entropy value in various optical cable maintenance services, providing a reference for evaluating the objective importance of each scoring indicator.

[0089] Based on the subjective and objective weights of each scoring indicator, Lagrange multipliers are used to calculate the weight of each scoring indicator. The formulas for calculating the weights of each scoring indicator are as follows.

[0090] ; in, For the first Subjective weighting of scoring indicators For the first Objective weighting of scoring indicators For the first The target weight of the scoring indicators The number is the rating indicator. This represents the total number of scoring indicators.

[0091] This invention determines the target weight of the scoring indicators based on subjective and objective weights, comprehensively considering the two weight dimensions of the scoring indicators, thereby improving the accuracy of the target weight.

[0092] The following describes the communication optical cable maintenance ticket generation device based on the classification and sorting of service impact scope provided by the present invention. The communication optical cable maintenance ticket generation device based on the classification and sorting of service impact scope described below can be referred to in correspondence with the communication optical cable maintenance ticket generation method based on the classification and sorting of service impact scope described above.

[0093] like Figure 3 As shown, the communication optical cable maintenance ticket generation device, which is classified and sorted based on the scope of business impact, includes: The classification and grouping module 301 is used to classify and group at least one optical cable maintenance service within the scope of the business impact of optical cable maintenance, so as to obtain at least one optical cable maintenance service group. The scoring module 302 is used to extract the scoring indicators and their target weights for each optical cable maintenance service in each optical cable maintenance service group, and to calculate the service score for each optical cable maintenance service based on the importance score of the scoring indicators and the target weights. The intra-group sorting module 303 is used to sort the importance of each optical cable maintenance service in each optical cable maintenance service group based on the service score, and obtain the intra-group sorted optical cable maintenance services. The inter-group sorting module 304 is used to sort the optical cable maintenance services within each group according to their importance and obtain communication optical cable maintenance tickets.

[0094] The communication optical cable maintenance ticket generation device based on business impact scope classification and sorting provided in this invention classifies and groups at least one optical cable maintenance service within the business impact scope of optical cable maintenance, obtaining at least one optical cable maintenance service group. Within each optical cable maintenance service group, scoring indicators and their target weights are extracted for each optical cable maintenance service, and a business score for each optical cable maintenance service is calculated based on the importance score of the scoring indicators and the target weight. Within each optical cable maintenance service group, the importance of each optical cable maintenance service is ranked based on the business score, resulting in a ranked optical cable maintenance service within each group. Finally, the importance of the ranked optical cable maintenance services within each group is ranked between groups to obtain a communication optical cable maintenance ticket. This invention, by dividing optical cable maintenance services into optical cable maintenance service groups, decomposes the ranking of a large number of optical cable maintenance services into the ranking of a smaller number of optical cable maintenance services within each group, reducing the complexity of the ranking process. By calculating the business score based on the importance score of the scoring indicators and the target weight, the invention achieves automatic evaluation of the importance of optical cable maintenance services. This invention achieves hierarchical sorting of optical cable maintenance tasks by sorting them within and between groups. This also reduces sorting complexity, automates the sorting process, and improves sorting efficiency. Furthermore, this invention automatically generates communication optical cable maintenance tickets, avoiding human interference and improving the efficiency and accuracy of ticket generation.

[0095] All relevant content of each step involved in the above method embodiments can be referenced from the functional description of the corresponding functional module, and will not be repeated here.

[0096] Figure 4 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 4As shown, the electronic device may include: a processor 410, a communications interface 420, a memory 430, and a communication bus 440, wherein the processor 410, communications interface 420, and memory 430 communicate with each other through the communication bus 440. The processor 410 can call logical instructions in the memory 430 to execute a method for generating optical cable maintenance tickets based on business impact scope classification and sorting. This method includes: classifying and grouping at least one optical cable maintenance service within the business impact scope of the optical cable maintenance to obtain at least one optical cable maintenance service group; extracting the scoring indicators and target weights of each optical cable maintenance service within each optical cable maintenance service group, and calculating the business score of each optical cable maintenance service based on the importance score of the scoring indicators and the target weights; sorting the importance of each optical cable maintenance service within each optical cable maintenance service group based on the business score to obtain the sorted optical cable maintenance services within each group; and sorting the sorted optical cable maintenance services between groups to obtain the optical cable maintenance ticket.

[0097] Furthermore, the logical instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0098] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the communication optical cable maintenance ticket generation method based on the business impact scope classification and sorting provided by the above methods. The method includes: classifying and grouping at least one optical cable maintenance business within the business impact scope of optical cable maintenance to obtain at least one optical cable maintenance business group; extracting the scoring indicators and target weights of each optical cable maintenance business in each optical cable maintenance business group, and calculating the business score of each optical cable maintenance business based on the importance score of the scoring indicators and the target weight; ranking the importance of each optical cable maintenance business in each optical cable maintenance business group based on the business score to obtain the optical cable maintenance business after intra-group ranking; and ranking the optical cable maintenance business between groups after intra-group ranking to obtain the communication optical cable maintenance ticket.

[0099] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0100] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0101] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for generating maintenance tickets for communication optical cables based on the classification and sorting of business impact scope, characterized in that, include: Within the scope of the business impact of optical cable maintenance, at least one optical cable maintenance business is classified and grouped to obtain at least one optical cable maintenance business group. In each of the aforementioned optical cable maintenance service groups, the scoring indicators and their target weights for each optical cable maintenance service are extracted, and the service score for each optical cable maintenance service is calculated based on the importance scores of the scoring indicators and the target weights. In each of the aforementioned optical cable maintenance service groups, the importance of each optical cable maintenance service is ranked based on the service score to obtain the ranked optical cable maintenance services within the group. The importance of the optical cable maintenance services within each group is ranked according to their importance to obtain the communication optical cable maintenance ticket.

2. The method for generating communication optical cable maintenance tickets based on business impact scope classification and sorting according to claim 1, characterized in that, The classification and grouping of at least one optical cable maintenance service to obtain at least one optical cable maintenance service group includes: Extract the functional matching words for each of the aforementioned optical cable maintenance services; In the category configuration table, the service category of each optical cable maintenance service is queried based on each of the aforementioned function matching words to obtain the optical cable maintenance service set for each service category; the category configuration table includes the mapping relationship between each of the aforementioned service categories and each of the aforementioned function matching words; In each of the aforementioned optical cable maintenance service sets, the optical cable maintenance services are grouped according to the cosine similarity between the texts of each optical cable maintenance service to obtain at least one optical cable maintenance service group.

3. The method for generating communication optical cable maintenance tickets based on business impact scope classification and sorting according to claim 2, characterized in that, The business categories for obtaining each of the aforementioned optical cable maintenance services also include: If the service category of the optical cable maintenance service cannot be found in the category configuration table based on the function matching words, then the optical cable maintenance service is input into the category prediction model based on the TextCNN convolutional neural network to obtain the service category of the optical cable maintenance service output by the category prediction model. The category prediction model is used to extract text features of the optical cable maintenance service, determine the predicted probability of the optical cable maintenance service belonging to each specified category based on the text features, and take the specified category corresponding to the highest predicted probability as the service category of the optical cable maintenance service.

4. The method for generating communication optical cable maintenance tickets based on business impact scope classification and sorting according to claim 1, characterized in that, The scoring indicators are extracted based on the following method: Based on a professional terminology dictionary for optical cable maintenance, the optical cable maintenance business is subjected to forward maximum matching algorithm and reverse maximum matching algorithm to obtain forward matching results and reverse matching results. When the number of word segments in the forward matching result is the same as the number of word segments in the reverse matching result, the effective word segments are selected from the reverse matching result to obtain the scoring index. When the number of word segments in the forward matching result is different from the number of word segments in the reverse matching result, the effective word segments are selected from the forward matching result or the reverse matching result with fewer word segments to obtain the scoring index.

5. The method for generating communication optical cable maintenance tickets based on business impact scope classification and sorting according to claim 1, characterized in that, The target weights are extracted based on the following method: In the optical cable maintenance business group, the analytic hierarchy process is used to generate a judgment matrix for the optical cable maintenance business group based on the importance coefficient between any two scoring indicators; the subjective weight of each scoring indicator is obtained based on the largest eigenvalue of the judgment matrix. In the optical cable maintenance business group, the objective weights of each scoring indicator are obtained according to the entropy method. The subjective weights and objective weights of the scoring indicators are calculated using Lagrange multipliers to obtain the target weights of each scoring indicator.

6. The method for generating communication optical cable maintenance tickets based on business impact scope classification and sorting according to claim 5, characterized in that, The objective weights of the scoring indicators are calculated based on the following method: In the optical cable maintenance business group, an indicator matrix is ​​constructed based on the scoring indicators and the optical cable maintenance business. In the indicator matrix, based on the importance score of the scoring indicator in each of the optical cable maintenance services, the weight of each value of the scoring indicator in each of the optical cable maintenance services is obtained; Calculate the k value based on the number of optical cable maintenance services based on the indicator matrix; Based on the k value and the weight of each of the numerical values, the entropy value of the scoring index in each of the optical cable maintenance services is calculated; The objective weight of the scoring indicator is calculated based on the entropy value of the scoring indicator in each of the optical cable maintenance services.

7. The method for generating communication optical cable maintenance tickets based on business impact scope classification and sorting according to claim 1, characterized in that, The importance scores for each of the aforementioned scoring indicators are determined based on the following method: In historical optical cable maintenance tickets, the scoring criteria for each scoring indicator are determined based on the historical optical cable maintenance services that have been ranked in order of importance. Based on the actual values ​​of the scoring criteria and scoring indicators in optical cable maintenance services, the importance score of the scoring indicators is determined.

8. A device for generating maintenance tickets for optical cables based on the classification and sorting of business impact scope, characterized in that, include: The classification and grouping module is used to classify and group at least one optical cable maintenance service within the scope of the business impact of optical cable maintenance, so as to obtain at least one optical cable maintenance service group. The scoring module is used to extract the scoring indicators and their target weights for each optical cable maintenance service in each optical cable maintenance service group, and to calculate the service score for each optical cable maintenance service based on the importance score of the scoring indicators and the target weights. The intra-group sorting module is used to sort the importance of each optical cable maintenance service in each optical cable maintenance service group based on the service score, so as to obtain the intra-group sorted optical cable maintenance services. The inter-group sorting module is used to sort the optical cable maintenance services within each group according to their importance and obtain the communication optical cable maintenance ticket.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, When the processor executes the computer program, it implements the communication optical cable maintenance ticket generation method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the communication optical cable maintenance ticket generation method according to any one of claims 1 to 7.

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