Network resource cutover management method and system based on resource capability center

Abstract

The invention discloses a network resource cutover management method and system based on a resource capability center, belongs to the technical field of transmission network networking, and aims to solve the technical problem of how to improve the efficiency, success rate and safety of network resource cutover. According to the technical scheme, the method comprises the following steps: counting and displaying cutover work orders: automatically synchronizing type information of each type of cutover work order to complete cutover work order counting, displaying a cutover type proportion in detail, and obtaining the number of each type of work orders through the proportion number based on a lightweight statistical model parameter automatic optimization method; calculating the proportion of each cutover type, displaying the cutover types in a pie chart from high to low, and predicting the number of work orders and personnel arrangement in a future set time; creating a cutover announcement; changing work order distribution statistics; statistics of cutover time: performing classified statistics by day according to the starting date of the cutover work, and displaying through a histogram; performing cutover time deviation analysis; and analyzing a cutover result.

Description

Technical Field

[0001] The present invention relates to the technical field of transmission network networking, and in particular to a network resource cutover management method and system based on a resource capability center. Background Art

[0002] The technical background of cutover mainly stems from the continuous development of network technology and the growing business needs. With the expansion of enterprise business, the network needs to be continuously optimized and transformed, including hardware expansion, software upgrades and configuration changes. These operations often affect the existing network operations, so strict cutover processes and risk control measures need to be formulated. Cutover technology is designed to ensure network stability and business continuity during equipment replacement, line adjustment or business migration.

[0003] Traditional cutover methods usually require experienced on-site personnel to provide accurate data, resulting in low cutover efficiency and poor data accuracy. In addition, traditional methods are unable to adapt to complex network environments and are prone to erroneous verification results.

[0004] Therefore, how to improve the efficiency, success rate and security of network resource cutover is a technical problem that needs to be solved urgently. Summary of the invention

[0005] The technical task of the present invention is to provide a network resource cutover management method and system based on a resource capability center to solve the problem of how to improve the efficiency, success rate and security of network resource cutover.

[0006] The technical task of the present invention is achieved in the following manner: a network resource cutover management method based on a resource capability center, the method is specifically as follows:

[0007] Statistics and display of cutover work orders: Automatically synchronize the type information of each cutover work order to complete the statistics of cutover work orders, display the proportion of cutover types in detail, and obtain the number of each type of work order based on the proportion based on the lightweight statistical model parameter automatic optimization method, and calculate the proportion of each cutover type, and display it in a pie chart from high to low. At the same time, predict the number of work orders and personnel arrangements in the next week or month, improve the efficiency of cutover operations, and arrange work reasonably;

[0008] Create a cutover notice: Display the cutover work orders that have been carried out or are to be carried out in the cutover notice, and add a detailed order entry to facilitate viewing more detailed information in subsequent operations; the cutover notice includes the cutover resources, work order subject, branch name, cutover type, and planned time;

[0009] Change work order distribution statistics: separately count by the branch companies undertaking the cutover work, read the data of the branch companies stated in each cutover work order according to the branch company field, count the branch companies to which each cutover work order belongs according to the branch company name, and display the number of work orders of each branch company through a bar chart;

[0010] Cutover time statistics: classify and count by the day according to the start date of the cutover work, and display through a bar chart;

[0011] Cutover time deviation analysis: read the planned start time, planned end time, actual start time, and actual end time of each type of work order, calculate the start time deviation, end time deviation, planned duration, and actual duration respectively through actual start time - planned start time, actual end time - planned end time, planned end time - planned start time, and actual end time - actual start time, and then obtain the longest and shortest deviation times. After statistically analyzing the time changes of all work orders, predict the next cutover start time and end time according to the statistical results;

[0012] Cutover result analysis: classify the work order data that has completed the cutover according to the branch companies to which the cutover work orders belong, separately count the total number of cutovers and the cutover success rate, extract the qualification rates of each branch company and the problems encountered in historical cutover work orders, and then predict the next cutover result.

[0013] Preferably, when counting the cutover time, query all the running work orders on the current day according to the work order status, store them, output the change in the number of work orders per day, display the change in the number of work orders per day through the change in the historical number of work orders, analyze the change in the work order data, and calculate the peak value and skewness value of the number of work orders for subsequent prediction of the change in the number of work orders.

[0014] Preferably, the method also maintains the cutover resources on the work order page according to the cutover work order list information. Specifically: correlate the relevant associated devices according to the specific cutover equipment by querying the data of the resource capability center, reduce the problem of omission in operator input, improve the time for creating work orders, improve the input efficiency and quality of work orders before cutover, and ensure the comprehensiveness, effectiveness, and authority of the subsequent analysis data presentation of work orders; among them, the relevant associated devices include network elements -> topology, ports, and boards.

[0015] Preferably, three inspection links, namely conflict analysis, impact analysis, and pre-cutover inspection, are set before the work order cutover, specifically as follows:

[0016] Conflict analysis includes cutover event conflicts themselves, live network fault conflicts, major event protection conflicts, network security conflicts, and standardized software version conflicts. Among them, the cutover event conflict itself is specifically as follows: According to the resources in the cutover work order, query whether there are other resource work orders for optical path scheduling and computer room relocation. If there are work orders, report a cutover time conflict error. The live network fault conflict is specifically as follows: Check whether there is an associated relationship between the jumper wires and fusion connection resources of the cutover resources and the live network resources. If there is, generate a live network fault alarm. The major event protection conflict is specifically as follows: Check whether the cutover resources exist in the major event protection. If they exist in the major event protection, generate a major event protection conflict alarm. The network security conflict is specifically as follows: Check whether there are operations that affect the ring network structure in the cutover resources. If there are, conduct a network security conflict alarm analysis to analyze whether there is a problem of the same route. The standardized software version conflict is specifically as follows: Check whether the software version information of the cutover resources meets the group's required specifications. If there is abnormal version information, generate a software conflict alarm.

[0017] Impact analysis includes service impact analysis, circuit impact analysis, and circuit interruption data statistical analysis. Among them, the service impact analysis is specifically as follows: Query the circuit information passed by the cutover resources and display it on the page for subsequent associated service inspection. The circuit impact analysis is specifically as follows: Conduct an impact analysis on the affected circuits. First, judge the main and standby path information of the circuits, and then judge whether there are cutover resources in the main and standby paths. If there are, judge whether both the main and standby are affected to determine the resource impact degree. The circuit interruption data statistical analysis is specifically as follows: Based on the results of the previous circuit impact analysis, add real-time alarm information for further analysis to judge the impact of the alarm resources and cutover resources on the main and standby paths of the circuits.

[0018] Pre-cutover inspection includes alarm data analysis and performance data analysis. Among them, the alarm data analysis is specifically as follows: Query and display the alarm information and derivative alarm information corresponding to the cutover resources for the cutover resources. The performance data analysis is specifically as follows: Query and display the performance information of optical power, delay, jitter, and packet loss corresponding to the cutover resources for the cutover resources.

[0019] Preferably, after completing the cutover work order inspection, the cutover work order is transferred to the cutover in-process evaluation link. The cutover fault root cause location algorithm based on fusion causal reasoning integrates cutover operation logs, network traffic data, and device performance indicators, and uses a time-series causal discovery algorithm (such as PCMCI) to identify the causal relationship between variables, compares the statistical distribution offsets of key indicators (such as delay, error rate) before and after the cutover, and then traces back the abnormal source (such as incorrect configuration, hardware compatibility problems) based on the causal diagram to improve the fault location speed and reduce the mean time to repair (MTTR).

[0020] Preferably, the in - process evaluation of cut - over includes three dimensions: performance snapshot, alarm monitoring, and service monitoring; specifically as follows:

[0021] The performance snapshot includes optical power and bit - error performance, records the optical power and bit - error data corresponding to the cut - over resources, and is used for comparison with the data after the cut - over is completed;

[0022] Alarm monitoring: monitors the alarms generated by alarm resources during the cut - over process, records the occurred alarm information, and is used for subsequent comparison with the situation after the cut - over is completed;

[0023] Service monitoring includes service path monitoring and service interruption impact analysis, real - time monitors the service impact situation, alarm occurrence situation, and performance change situation during the cut - over process, and provides a visual interface for operators to view and record.

[0024] Preferably, after the cut - over operation is completed, it enters the post - cut - over observation and evaluation link. The pre - cut - over evaluation includes result quality inspection and operation observation;

[0025] Among them, the result quality inspection includes alarm data, optical power, and bit - error data. The final data of alarms, optical power, and bit - error are respectively compared and displayed with the data in the corresponding cut - over, and are used to draw the final cut - over conclusion;

[0026] Operation observation includes circuit dial - test quality analysis, circuit quantity and path analysis, ring network same - route analysis, or views the cut - over details of this cut - over operation by exporting the cut - over report.

[0027] A network resource cut - over management system based on a resource capability center, which is used to implement the network resource cut - over management method based on the resource capability center as described above; this system includes:

[0028] A statistics and display module, which is used to automatically synchronize the type information of each cut - over work order to complete the cut - over work order statistics, detailedly display the proportion of cut - over types, and obtain the quantity of each type of work order through an automated optimization method based on lightweight statistical model parameters according to the proportion quantity, calculate the proportion of each cut - over type, and display it in a pie chart from high to low. At the same time, it predicts the work order quantity and personnel arrangement within a future set time;

[0029] A cut - over announcement creation module, which is used to display the completed or pending cut - over work orders on the cut - over announcement and add a detailed list entry for easy viewing of more detailed information later; among them, the cut - over announcement includes cut - over resources, work order theme, branch company name, cut - over type, and planned time;

[0030] The change work order distribution statistics module is used to perform separate statistics by the branch companies undertaking the cutover work, read the data of the branch companies of each cutover work order according to the branch company field, count the branch companies to which each cutover work order belongs according to the branch company name, and display the number of work orders of each branch company through a bar chart;

[0031] The cutover time statistics module is used to classify and count by day according to the start date of the cutover work and display it through a bar chart;

[0032] The cutover time deviation analysis module is used to read the planned start time, planned end time, actual start time and actual end time of each work order, calculate the start time deviation, end time deviation, planned duration and actual duration respectively through actual start time - planned start time, actual end time - planned end time, planned end time - planned start time, actual end time - actual start time, and then obtain the longest and shortest deviation times. After counting the time changes of all work orders, predict the next cutover start time and end time according to the statistical results;

[0033] The cutover result analysis module is used to classify the work order data that has completed the cutover according to the branch companies to which the cutover work orders belong, count the total number of cutovers and the cutover success rate respectively, extract the qualification rates of each branch company and the problems encountered in historical cutover work orders, and then predict the next cutover result.

[0034] Among them, the parameter automatic tuning method based on the lightweight statistical model aims to optimize the model performance while reducing the consumption of computing resources through efficient and intelligent algorithms. The following are the key methods and steps to achieve this goal:

[0035] (1) The core method of automatic tuning is as follows:

[0036] (1) Bayesian optimization: By constructing a probability model of the objective function (such as Gaussian process), dynamically adjust the search strategy to balance exploration and exploitation. Compared with grid search and random search, Bayesian optimization can find the optimal parameters more efficiently, especially suitable for high-dimensional parameter spaces. Implementation tools: Scikit-Optimize: Supports Bayesian optimization and is suitable for the Python environment; HyperOpt: Provides the Tree-structured Parzen Estimator (TPE) algorithm, suitable for large-scale tuning tasks.

[0037] (2) Genetic Algorithm: Simulates the natural selection process. Through crossover, mutation, and selection operations, it gradually optimizes the parameter combination. It is applicable to discontinuous and non-convex parameter spaces and can jump out of local optima. Implementation tools: DEAP: A Python library that supports custom genetic algorithms; TPOT: An automated machine learning tool based on genetic programming.

[0038] (3) Random Search and Early Stopping: Randomly samples in the parameter space, combines cross-validation to evaluate performance, and early stops inefficient searches. It is simple and efficient and suitable for resource-constrained scenarios. Implementation tools: RandomizedSearchCV in Scikit-learn; Optuna: Supports dynamic sampling and early stopping.

[0039] (4) Gradient-based Optimization (such as Hypergradient): Directly optimizes hyperparameters by calculating the gradients of hyperparameters with respect to the validation set loss. It is applicable to differentiable models and has a fast convergence speed. Implementation tools: Learn2learn: Supports meta-learning and hyperparameter optimization.

[0040] An electronic device, comprising: a memory and at least one processor;

[0041] Wherein, a computer program is stored on the memory;

[0042] The at least one processor executes the computer program stored in the memory, such that the at least one processor executes the network resource cutover management method based on the resource capability center as described above.

[0043] A computer-readable storage medium, in which a computer program is stored, and the computer program can be executed by a processor to implement the network resource cutover management method based on the resource capability center as described above.

[0044] The network resource cutover management method and system based on the resource capability center of the present invention have the following advantages:

[0045] (1) Through an automated and centralized management method, the present invention significantly improves the cutover efficiency and success rate, reduces risks, can simultaneously monitor the network status in real time to ensure safety and stability during the cutover process, and optimizes resource allocation to reduce resource waste; in addition, it also improves the standardization and standardization level of network management, ensures the compliance and traceability of cutover operations, and provides strong technical support and guarantee for the network operation and maintenance and business development of enterprises;

[0046] (2) The present invention combines with the resource capability center to assist the cutover resource process, monitors and outputs performance, service, and alarm information before and after the cutover, and improves the cutover fault tolerance and accuracy;

[0047] (3) The solution adopted by the present invention in the data collection link is a solution based on the resource and capacity center, and relevant resource, performance, and alarm information is queried and presented according to the data given by the resource and capacity center;

[0048] (4) Through data verification and validation, the present invention can greatly avoid problems and potential hazards encountered during the cutover process, put forward reasonable suggestions for problem items, help operators carry out rectification operations, and solve abnormal item problems;

[0049] (5) Through the resource and capacity center, the present invention centrally and uniformly manages the network cutover process, can realize the automatic execution of the cutover preparation link, the automatic review of operation instructions, the automatic verification of service verification, and the automatic monitoring of device status, which helps to strengthen the control of the cutover process, improve the visual online management level of the entire cutover process, thus ensuring the smooth progress of the network resource cutover and minimizing the risks that may occur during the cutover process;

[0050] (6) The present invention relates to the field of computer network technology. In modern operator networking networks, operations such as equipment replacement, network structure optimization for networking, and service load optimization all involve cutovers. The system provides automated processing capabilities for cutovers, including the cutover home page, cutover process management, cutover monitoring data customization. The cutover home page presents the overall cutover situation, and the cutover process includes cutover work order synchronization, pre-cutover assessment, cutover monitoring (process monitoring, post-cutover monitoring), and post-cutover processing; at the same time, it supports customizing the scope of alarm and performance monitoring data, which will provide an automated auxiliary means for cutover closed-loop control. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The present invention will be further described below with reference to the accompanying drawings.

[0052] FIG Figure 1 is a flowchart of a network resource cutover management method based on a resource and capacity center. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] The network resource cutover management method and system based on the resource and capacity center of the present invention will be described in detail below with reference to the accompanying drawings of the specification and specific embodiments.

[0054] Embodiment 1:

[0055] As shown in the FIG Figure 1 This embodiment provides a network resource cutover management method based on a resource and capacity center, and the method is as follows:

[0056] S1. Statistically display cutover work orders: Automatically synchronize the type information of each cutover work order to complete the cutover work order statistics, detailedly display the proportion of cutover types, and obtain the quantity of each type of work order through the lightweight statistical model parameter automation optimization method based on the proportion quantity, calculate the proportion of each cutover type, and display it in a pie chart from high to low. At the same time, predict the quantity of work orders and personnel arrangements within the set future time;

[0057] S2. Create cutover announcements: Display the cutover work orders that have been carried out or are to be carried out in the cutover announcements, and add a detailed list entry for easy viewing of more detailed information later. Among them, the cutover announcements include cutover resources, work order topics, branch names, cutover types, and planned times;

[0058] S3. Statistical analysis of the distribution of change work orders: Statistically analyze by the branches undertaking the cutover work, read the branch data of each cutover work order according to the branch name field, count the branches to which each cutover work order belongs according to the branch name, and display the quantity of work orders of each branch in a bar chart;

[0059] S4. Statistically analyze cutover times: Classify and statistically analyze by the day when the cutover work starts, and display it in a bar chart; Query all running work orders on the same day according to the work order status, store them, output the change of the daily work order quantity, display the change of the daily work order quantity through the change of the historical work order quantity, analyze the change of the work order data, calculate the peak value and skewness value of the work order quantity for subsequent prediction of the change of the work order quantity;

[0060] S5. Cutover time deviation analysis: Read the planned start time, planned end time, actual start time, and actual end time of each work order, calculate the start time deviation, end time deviation, planned duration, and actual duration respectively through actual start time - planned start time, actual end time - planned end time, planned end time - planned start time, and actual end time - actual start time, and then obtain the longest and shortest deviation times. After statistically analyzing the time changes of all work orders, predict the next cutover start time and end time according to the statistical results;

[0061] S6. Cutover result analysis: Classify the work order data that has completed the cutover according to the branches to which the cutover work orders belong, statistically analyze the total number of cutovers and the cutover success rate respectively, extract the qualification rates of each branch and the problems encountered in historical cutover work orders, and then predict the next cutover result;

[0062] S7. Maintain the cutover resources on the work order page according to the information in the cutover work order list. Specifically: Based on the specific equipment for cutover, query the data in the resource capability center to associate relevant associated equipment, reduce the problem of omission by operators during input, and at the same time improve the time for creating work orders, enhance the input efficiency and quality of work orders before cutover, and ensure the comprehensiveness, effectiveness, and authority of the subsequent analysis data presentation of work orders; among them, the relevant associated equipment includes network elements -> topology, ports, and boards.

[0063] S8. Set three inspection links, namely conflict analysis, impact analysis, and pre-cutover inspection, before the work order cutover, as follows:

[0064] Conflict analysis includes cutover event conflicts, existing network fault conflicts, major protection event conflicts, network security conflicts, and standardized software version conflicts; among them, the cutover event conflict itself is specifically: According to the resources in the cutover work order, query whether there are other resource work orders for optical path scheduling and computer room relocation. If there are work orders, report a time conflict error for the cutover; the existing network fault conflict is specifically: Check whether there is a jumper connection or fusion resource connection relationship between the cutover resources and the existing network resources. If there is, generate an existing network fault alarm; the major protection event conflict is specifically: Check whether the cutover resources are in the major protection event. If they are in the major protection event, generate a major protection event conflict alarm; the network security conflict is specifically: Check whether there are operations that affect the ring network structure in the cutover resources. If there are, conduct an analysis of network security conflict alarms to analyze whether there is a problem of the same route; the standardized software version conflict is specifically: Check whether the software version information of the cutover resources meets the group requirements and specifications. If there is abnormal version information, generate a software conflict alarm.

[0065] Impact analysis includes service impact analysis, circuit impact analysis, and circuit interruption data statistical analysis; among them, the service impact analysis is specifically: Query the circuit information passed by the resources for the cutover resources and display it on the page to facilitate subsequent associated service inspections; the circuit impact analysis is specifically: Conduct an impact analysis on the affected circuits. First, judge the main and standby path information of the circuits, and then judge whether there are cutover resources in the main and standby paths. If there are, judge whether both the main and standby are affected to determine the resource impact degree; the circuit interruption data statistical analysis is specifically: Based on the results of the previous circuit impact analysis, add real-time alarm information for further analysis to judge the impact of the alarm resources and cutover resources on the main and standby paths of the circuits.

[0066] Pre-cutover inspection includes alarm data analysis and performance data analysis; among them, the alarm data analysis is specifically: For the cutover resources, query and display the alarm information and derivative alarm information corresponding to the cutover resources; the performance data analysis is specifically: For the cutover resources, query and display the performance information such as optical power, delay, jitter, and packet loss corresponding to the cutover resources.

[0067] After the cutover work order inspection is completed, the cutover work order flows to the in - process cutover assessment link. The cutover fault root cause location algorithm based on fusion causal reasoning integrates cutover operation logs, network traffic data, and device performance indicators, and uses a time - series causal discovery algorithm (such as PCMCI) to identify causal relationships between variables. It compares the statistical distribution shifts of key indicators (such as latency and error rate) before and after the cutover, and then traces back the abnormal source (such as misconfiguration and hardware compatibility issues) based on the causal graph to improve the fault location speed and reduce the mean time to repair (MTTR). The in - process cutover assessment includes three dimensions: performance snapshot, alarm monitoring, and service monitoring. Specifically: The performance snapshot includes optical power and bit error performance, records the optical power and bit error data corresponding to the cutover resources, and is used for comparison with the data after the cutover is completed; Alarm monitoring: monitors the alarms generated by the alarm resources during the cutover, records the occurred alarm information, and is used for comparison with the data after the cutover is completed; Service monitoring includes service path monitoring and service interruption impact analysis, real - time monitors the service impact situation, alarm occurrence situation, and performance change situation during the cutover, and provides a visual interface for operators to view and record.

[0068] After the cutover operation is completed, it enters the post - cutover change observation and assessment link. The pre - cutover assessment includes result quality inspection and operation observation.

[0069] Among them, the result quality inspection includes alarm data, optical power, and bit error data. The final alarm, optical power, and bit error data are respectively compared and displayed with the corresponding data during the cutover, which is used to draw the final cutover conclusion.

[0070] The operation observation includes circuit dial - test quality analysis, circuit quantity and path analysis, and ring network same - route analysis, or views the cutover details of this cutover operation by exporting the cutover report.

[0071] Embodiment 2:

[0072] This embodiment provides a network resource cutover management system based on a resource capability center. This system is used to implement the network resource cutover management method based on the resource capability center as in Embodiment 1. The system includes:

[0073] A statistics and display module, which is used to automatically synchronize the type information of each cutover work order to complete the cutover work order statistics, detailedly display the proportion of cutover types, and obtain the quantity of each type of work order through the lightweight statistical model parameter automation optimization method based on the proportion quantity, calculate the proportion of each cutover type, and display it in a pie chart from high to low. At the same time, it predicts the work order quantity and personnel arrangement within a set future time.

[0074] The cutover notice creation module is used to display the cutover work orders that have been carried out or are to be carried out in the cutover notice and add a detailed list entry to facilitate viewing more detailed information in subsequent operations. Among them, the cutover notice includes cutover resources, work order theme, branch company name, cutover type, and planned time.

[0075] The change work order distribution statistics module is used to separately count by the branch company undertaking the cutover work, read the branch company data of each cutover work order according to the branch company field, count the branch company to which each cutover work order belongs according to the branch company name, and display the number of work orders of each branch company through a bar chart.

[0076] The cutover time statistics module is used to classify and count by the day according to the start date of the cutover work and display it through a bar chart.

[0077] The cutover time deviation analysis module is used to read the planned start time, planned end time, actual start time, and actual end time of each work order, calculate the start time deviation, end time deviation, planned duration, and actual duration respectively through actual start time - planned start time, actual end time - planned end time, planned end time - planned start time, and actual end time - actual start time, and then obtain the longest and shortest deviation times. After statistically analyzing the time changes of all work orders, predict the next cutover start time and end time according to the statistical results.

[0078] The cutover result analysis module is used to classify the work order data of the completed cutovers according to the branch company to which the cutover work orders belong, separately count the total number of cutovers and the cutover success rate, extract the qualification rate of each branch company and the problems encountered in historical cutover work orders, and then predict the next cutover result.

[0079] Embodiment 3:

[0080] This embodiment also provides an electronic device, including: a memory and a processor;

[0081] Among them, the memory stores computer execution instructions;

[0082] The processor executes the computer execution instructions stored in the memory, so that the processor executes the network resource cutover management method based on the resource capability center in any embodiment of the present invention.

[0083] The processor may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0084] The memory can be used to store computer programs and / or modules. By running or executing the computer programs and / or modules stored in the memory and invoking the data stored in the memory, the processor realizes various functions of the electronic device. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function, etc.; the data storage area can store data created according to the use of the terminal, etc. In addition, the memory can also include high-speed random access memory, and can also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash memory card, at least one magnetic disk storage period, a flash memory device, or other volatile solid-state storage devices.

[0085] Embodiment 4:

[0086] This embodiment also provides a computer-readable storage medium, which stores multiple instructions. The instructions are loaded by the processor to make the processor execute the network resource cutover management method based on the resource capability center in any embodiment of the present invention. Specifically, a system or device equipped with a storage medium can be provided. On this storage medium, software program codes for realizing the functions in any one of the above embodiments are stored, and the computer (or CPU or MPU) of the system or device reads and executes the program codes stored in the storage medium.

[0087] In this case, the program code read from the storage medium itself can realize the functions in any one of the above embodiments. Therefore, the program code and the storage medium storing the program code constitute a part of the present invention.

[0088] Embodiments of the storage medium for providing program codes include floppy disks, hard disks, magneto-optical disks, optical disks (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), magnetic tapes, non-volatile memory cards, and ROMs. Optionally, the program code can be downloaded from a server computer through a communication network.

[0089] In addition, it should be clear that not only can the actual operations be completed in part or in whole by executing the program code read by the computer, but also by making the operating system operating on the computer, etc. based on the instructions of the program code, so as to realize the functions in any one of the above embodiments.

[0090] In addition, it can be understood that the program code read from the storage medium is written into the memory provided in the expansion board inserted into the computer or into the memory provided in the expansion unit connected to the computer, and then based on the instructions of the program code, the CPU etc. installed on the expansion board or the expansion unit are made to execute part or all of the actual operations, thereby implementing the functions of any one of the above embodiments.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A network resource cutover management method based on a resource capability center, characterized in that: The method is as follows: Statistics and display of cutover work orders: Automatically synchronize the type information of each cutover work order to complete the cutover work order statistics, display the cutover type ratio in detail, and obtain the number of each type of work order based on the ratio based on the lightweight statistical model parameter automatic optimization method, and calculate the ratio of each cutover type, and display it in a pie chart from high to low, and predict the number of work orders and personnel arrangements within the set time in the future; Create a cutover notice: Display the cutover work orders that have been carried out or are to be carried out in the cutover notice, and add a detailed order entry; the cutover notice includes the cutover resources, work order subject, branch company name, cutover type, and planned time; Change work order distribution statistics: Statistics are performed separately by the branch that undertakes the cutover work, and the branch data of each cutover work order is read according to the branch field. The branch to which each cutover work order belongs is counted according to the branch name, and the number of work orders of each branch is displayed in a bar chart; Statistics of cutover time: The cutover start date is classified and counted by day and displayed in a bar chart; Cutover time deviation analysis: Read the planned start time, planned end time, actual start time and actual end time of each work order, calculate the start time deviation, end time deviation, planned duration and actual duration by subtracting the actual start time from the planned start time, the actual end time from the planned end time, the planned end time from the planned start time and the actual end time from the actual start time, and then obtain the longest and shortest deviation time. After counting the time changes of all work orders, predict the next cutover start time and end time based on the statistical results. Analysis of cutover results: For the work order data of completed cutover, classify them according to the branch to which the cutover work order belongs, and count the total number of cutovers and the cutover success rate respectively. Extract the pass rate of each branch and the problems encountered in the historical cutover work orders, and then predict the next cutover result.

2. The network resource cutover management method based on resource capability center according to claim 1, characterized in that: When counting the cutover time, all running work orders of the day are queried according to the work order status, stored, and the changes in the daily work order quantity are output. The changes in the historical work order quantity are used to display the changes in the daily work order quantity, analyze the changes in the work order data, calculate the peak and skewness values ​​of the work order quantity, and use them to predict the subsequent changes in the work order quantity.

3. The network resource cutover management method based on resource capability center according to claim 1, characterized in that: The method also maintains the cutover resources on the work order page according to the cutover work order list information, specifically: according to the specific equipment to be cutover, the relevant associated equipment is associated by querying the resource capability center data; wherein the relevant associated equipment includes network element->topology, port and board.

4. The network resource cutover management method based on resource capability center according to claim 1, characterized in that: Before the work order is cutover, three inspection steps are set: conflict analysis, impact analysis, and pre-cutover inspection. The details are as follows: Conflict analysis includes conflicts in the cutover event itself, conflicts in existing network faults, conflicts in re-security events, conflicts in networking security, and conflicts in standardized software versions. Specifically, conflicts in the cutover event itself include: based on the resources in the cutover work order, check whether there are other resource work orders for optical path scheduling and equipment room relocation. If there are work orders, report that the cutover is a time conflict error. Specifically, conflicts in the existing network fault include: check whether the cutover resources have jumper jumpers and welding resource connection relationships of existing network resources. If so, generate an existing network fault alarm. Specifically, conflicts in re-security events include: check whether the cutover resources exist in re-security events. If so, generate a re-security event conflict alarm. Specifically, networking security conflicts include: check whether there are operations that affect the ring network structure in the cutover resources. If so, perform networking security conflict alarm analysis to analyze whether there are co-routing problems. Specifically, standardized software version conflicts include: check whether the software version information of the cutover resources meets the group's requirements and specifications. If there is abnormal version information, generate a software conflict alarm. Impact analysis includes business impact analysis, circuit impact analysis, and circuit interruption data statistical analysis; business impact analysis specifically includes: querying the circuit information of the cutover resources and displaying it on the page to facilitate subsequent related business inspections; circuit impact analysis specifically includes: performing impact analysis on the affected circuits, first determining the circuit primary and backup path information, and then determining whether there are cutover resources in the primary and backup paths. If so, determining whether both the primary and backup paths are affected, thereby determining the degree of resource impact; circuit interruption data statistical analysis specifically includes: based on the results of the previous circuit impact analysis, adding real-time alarm information for further analysis to determine the impact of alarm resources and cutover resources on the circuit primary and backup paths; The pre-cutover check includes alarm data analysis and performance data analysis. The alarm data analysis includes: for the cutover resources, query and display the alarm information and derived alarm information corresponding to the cutover resources; the performance data analysis includes: for the cutover resources, query and display the performance information of optical power, delay, jitter, and packet loss corresponding to the cutover resources.

5. The network resource cutover management method based on resource capability center according to claim 4 is characterized in that: After completing the cutover work order inspection, the cutover work order will be transferred to the cutover in-process evaluation stage. The cutover fault root cause location algorithm based on fusion causal reasoning integrates the cutover operation log, network traffic data, and equipment performance indicators, and uses the temporal causal discovery algorithm to identify the causal relationship between variables, compare the statistical distribution offset of key indicators before and after the cutover, and then trace back to the source of the anomaly based on the causal graph, thereby improving the fault location speed and reducing the average repair time.

6. The network resource cutover management method based on resource capability center according to claim 5, characterized in that: The cutover in-progress evaluation includes three dimensions: performance snapshot, alarm monitoring, and business monitoring. The details are as follows: The performance snapshot includes optical power and bit error performance, and records the optical power and bit error data corresponding to the cutover resources for comparison with the data after the cutover is completed. Alarm monitoring: monitor the alarms generated by alarm resources during the cutover process, record the alarm information, and use it for comparison with the after-cutover completion; Business monitoring includes business path monitoring and business interruption impact analysis. It monitors the business impact, alarm occurrence, and performance changes during the cutover process in real time, and provides a visual interface for operators to view records.

7. The network resource cutover management method based on resource capability center according to claim 6 is characterized in that: After the cutover operation is completed, the post-cutover change observation and evaluation phase begins. The pre-cutover evaluation includes result quality inspection and operation observation. The result quality inspection includes alarm data, optical power and bit error data. The final alarm, optical power and bit error data are compared with the corresponding cutover data to draw the final cutover conclusion. Operation observation includes circuit dialing quality analysis, circuit quantity and path analysis, and ring network routing analysis, or you can view the cutover details of the current cutover operation by exporting the cutover report.

8. A network resource cutover management system based on a resource capability center, characterized in that: The system is used to implement the network resource cutover management method based on the resource capability center as described in any one of claims 1 to 7; the system comprises: The statistics and display module is used to automatically synchronize the type information of each cutover work order to complete the cutover work order statistics, display the cutover type ratio in detail, and obtain the number of each type of work order based on the lightweight statistical model parameter automatic optimization method through the ratio, and calculate the ratio of each cutover type, and display it in a pie chart from high to low, and at the same time predict the number of work orders and personnel arrangements within the future set time; The cutover notice creation module is used to display the cutover work orders that have been carried out or are to be carried out in the cutover notice and add a detailed order entry; the cutover notice includes the cutover resources, work order subject, branch company name, cutover type and planned time; The work order distribution statistics module is changed to count the branches that undertake the cutover work separately, and read the branch data of each cutover work order according to the branch field, count the branch to which each cutover work order belongs according to the branch name, and display the number of work orders of each branch through a bar chart; The cutover time statistics module is used to classify and count the cutover work start date by day and display it in a bar chart; The cutover time deviation analysis module is used to read the planned start time, planned end time, actual start time and actual end time of each work order, and calculate the start time deviation, end time deviation, planned duration and actual duration respectively through actual start time-planned start time, actual end time-planned end time, planned end time-planned start time, and actual end time-actual start time, and then obtain the longest and shortest deviation time. After counting the time changes of all work orders, the next cutover start time and end time are predicted based on the statistical results; The cutover result analysis module is used to classify the work order data of completed cutover according to the branch to which the cutover work order belongs, and to count the total number of cutovers and the cutover success rate, extract the qualified rate of each branch and the problems encountered in the historical cutover work orders, and then predict the next cutover result.

9. An electronic device, characterized in that: include: memory and at least one processor; Wherein, the memory stores a computer program; The at least one processor executes the computer program stored in the memory, so that the at least one processor executes the network resource cutover management method based on the resource capability center according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program can be executed by a processor to implement the network resource cutover management method based on a resource capability center according to any one of claims 1 to 7.

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