KR100521739B1 - Method for optimization of knowledge data on network management system by input of operator - Google Patents

Abstract

According to the present invention, as the operator inputs and registers network environment changes such as network element creation, event generation, network configuration change, and the like, based on this, an optimal knowledge data suitable for the current network state is rapidly generated and applied, thereby monitoring the system due to a false alarm. The present invention relates to a method of optimizing knowledge data by operator's input in a network management system that prevents confusion and improves network management efficiency of the entire communication network.

Description

Method for optimization of knowledge data on network management system by input of operator}

The present invention relates to a method of generating knowledge data of a network management system. More specifically, the present invention provides a method for generating knowledge data by quickly reflecting network environment changes recognized by an operator, such as network element creation, event generation, and network configuration change, to the current network state. The present invention relates to a method of optimizing knowledge data by an operator's input in a network management system that can eliminate false alarms and prevent confusion of a monitoring system by optimizing knowledge data accordingly.

In the mobile communication system, the Integrated Network Management System (INMS) generally provides real-time fault and performance monitoring to maintain communication services, provides statistical data for network quality analysis and management, and generates ticket by country / consignee. And providing statistical data for management and wired and wireless network design.

Such an integrated network management system has a basic configuration as shown in FIG. 1, some equipments interworking with a mobile switching center (MSC) and a mobile switching center, a base station (BTS) and some equipment interworking with a base station and others. Several communication network elements are monitored.

1 is a basic block diagram of a conventional integrated network management system.

Referring to Fig. 1, the exchange offices 50a to 50n of each region composed of a mobile switching center (MSC), a home location register (HLR), a base station management apparatus (BSM), and other network equipment, and the exchange stations of each region. A management center (OMC) 40a to 40n that manages 50a to 50n, and a network management system (NMC) to receive the failure information data according to the failure information data through the optical fiber distributed data interface 20 when a failure occurs at the switching center. 10).

The integrated network management system collects data on fault information generated in the exchange or measured data of call processing performance of the exchange every 5 minutes to determine whether there is an abnormality of the exchange based on an absolute reference value.

At this time, the operating maintenance center (OMC) 40a to 40n of each region outputs the failure information data as a system console message or manages the operation so that the failure information data according to the switching center can be managed by the region itself. The network management system (NMS) 10 is notified via the network dedicated line 30.

Then, the network management system 10 notified of the failure information data through the leased line 30 collects the failure information data of each region and recognizes that a failure occurs in the switching center.

In addition, the network management system 10 collects the performance data of the 5-minute cycle for the exchange call processing, and whether there is an abnormality in the service of the exchange through the call traffic rate and the completion rate, which are absolute values of the exchange stations for each route according to the analysis result. Monitor in real time.

The integrated network management system monitors the failure occurring in the communication network in real time, and then informs the user where the failure occurred is a communication line, a communication device, or a computer.

Meanwhile, the integrated network management system additionally includes a network operation function such as dynamically changing a network configuration or measuring traffic volume as well as the above-described monitoring function.

But. Such a conventional integrated network management system may not detect 100% of the service status of a switching center for each route even with collected failure information data such as an unmonitorable state due to a power failure or a power failure.

In addition, the conventional network management system does not manage the call number, traffic rate, completion rate and traffic, which are various call patterns for each route, and thus cannot quickly determine whether or not there is a service abnormality of the switching center. In other words, the performance data monitoring function of the integrated network management system judges the service status of the switching center as the completion rate of call success of the absolute reference value, so it is difficult to fully monitor the current status of the switching center by route.

Therefore, the applicant of the present invention, in order to solve the problems of the conventional integrated network management system, a knowledge-based base station monitoring method (patent application, 10-1998-37226) and intelligent service monitoring method for the switching network (patent application, 10- 1999-09715).

2 is a functional block diagram of an integrated network management system proposed by the applicant of the present invention through the above application.

Referring to FIG. 2, a knowledge base database 200 which is constructed by accumulating performance data of the switching center 300 for a predetermined period of time, a shared memory 100 for storing data for network management, and an operator terminal 400. It consists of.

The knowledge base 200 calculates the median value and the mean value from the performance data 130 periodically generated at the switching center 300 and collected for a predetermined period of time, and then the public day by day and time zone of the switching center in the calculated median value. It is automatically databased based on the event occurrence status such as maintenance occurrence status, route shape information change data, etc.

In this case, the median value and the average value are calculated except for data having a large number of attempted calls, which are performance data in abnormal cases, or data having a particularly low traffic rate.

The shared memory 100 stores the knowledge base analysis data 110, the event information management data 120, the monitoring data 130, and the alarm information data 140.

In this case, the knowledge-based analysis data 110 is data obtained by sampling the performance data of the knowledge-based database 200 at regular intervals in order to compare the monitoring data 130 which is periodically generated, and the event information management data ( 120 is data for registering the event occurrence history and the exchange shape information change for each route of the switching center, and the monitoring data 130 is performance data collected in real time at the switching center 300 every 5 minutes.

The comparative analysis function of the integrated network management system compares and analyzes the knowledge base analysis data 110, the event information management data 120, and the monitoring data 130 stored in the shared memory 100 to the threshold set by the operator. According to the grade.

At this time, according to the result of the comparative analysis, alarm information data 140 for generating alarm information is generated and stored in the shared memory 100. Then, the alarm notification function according to the alarm information data 140 notifies the operator terminal of the alarm information generation result.

However, the proposed integrated network management system does not specifically present a method for quickly applying the network environment changes (new network elements, event occurrences, network configuration changes, etc.) recognized by the operator to the knowledge data. not.

That is, according to the knowledge data generation method of the integrated network management system, since the knowledge data is automatically generated at predetermined intervals (for example, every two weeks) by reflecting the performance data of the switching center and the event occurrence situation, Even if the network environment changes, existing knowledge data will continue to be applied until the next generation.

As such, since the current network change state is not applied to the knowledge data quickly, false alarms may be frequently generated in the monitoring system, causing confusion in the actual service monitoring, and there is a problem of lowering the quality of the entire network service. .

Accordingly, the present invention is to solve the above-mentioned conventional problems, the object of the present invention is to quickly reflect the network environment changes recognized by the operator in the knowledge data, thereby preventing confusion of service monitoring due to false alarms The present invention provides a method of optimizing knowledge data by operator input in a network management system that can improve service quality of a communication network.

In the network management system for achieving the object of the present invention, the knowledge data optimization method by the operator's input, calculates the knowledge data by averaging the performance monitoring data collected for a certain period for each network element, each network element An integrated network management system that generates an alarm when a result of comparing and analyzing knowledge data and real-time performance monitoring data of a user, comprising: inputting relevant information on a new network element by an operator; Identifying a new network element in the integrated network management system and executing a temporary knowledge data generation process for the network element; Calculating and applying temporary knowledge data by averaging for each time zone without considering the day of the week, when the monitoring data of the new network element is accumulated over the first period; And when the monitoring data of the new network element is accumulated for more than a second period, classifying the accumulated monitoring data by day of the week and time zone, and averaging them to calculate and apply the knowledge data of each day and time of the new network element. Characterized in that made.

In addition, in the network management system for achieving the object of the present invention, the knowledge data optimization method by the operator's input, in the optimization of the knowledge data of the network element associated with the event occurs, the operator increases the event period, the expected traffic increase Inputting and registering information on a reduction ratio and a related network element; When the integrated network management system reaches the registered event period, executing a process of generating knowledge data according to the event for a related network element; Calculating and applying the knowledge data for each day and time of day by applying the expected traffic increase / decrease rate to the usual knowledge data of related network elements during an event period; And when the event is finished, restoring and applying the day and time zone knowledge data for the relevant network element to a normal state.

In addition, in the network management system for achieving the object of the present invention, the knowledge data optimization method by the input of the operator, in optimizing the knowledge data for the configuration change network element, the operator identification information and Inputting information of an expected traffic increase and decrease rate; Calculating and applying the knowledge data after the change by applying an expected traffic increase / decrease rate to the knowledge data before the change by day and time for the configuration change network element in the integrated network management system for a predetermined period after the configuration change; And calculating and applying the knowledge data by averaging the newly collected and accumulated monitoring data after the change by the day of the week and the time zone if the performance monitoring data of the changed network element is accumulated for a predetermined period after the configuration change. .

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

The present invention is based on the integrated network management system shown in FIG. 2, and generates the regular knowledge data of each day and time zone for each network element through the accumulated performance monitoring data, sampling the knowledge data at predetermined intervals, and real-time. Compared with the performance monitoring data 130 of generating an alarm and the like as described above with reference to FIG.

The present invention is an improvement of the integrated network management system. As the operator registers relevant information 120 about network environment changes such as network element creation, event generation, and configuration information change of a specific network element, the integrated network management system Checking these registration information optimizes the knowledge data for each case through the regular knowledge data generation process and other separate knowledge data generation process.

In addition, the integrated network management system efficiently monitors the network without generating false alarms against environmental changes by comparing the optimized knowledge data for a predetermined period in each case with the real-time performance monitoring data 130 and monitoring network failures. Done.

Hereinafter, a process of optimizing knowledge data for each case of network element establishment, event generation, and configuration information change of a specific network element will be described with reference to FIGS. 3 to 5.

First, when constructing a network element such as a base station or a repeater, since there is no accumulated performance data for the new network element, a periodic knowledge data generation process using accumulated statistics for a long time (for example, 8 weeks) may be applied. For fast network monitoring, a separate process of generating knowledge data through short-term performance data needs to be applied.

3 is a flowchart illustrating a process of optimizing knowledge data for registration of a new network element according to the present invention.

As shown in FIG. 3, the operator registers and inputs information on the new network element through the operator terminal. In this case, the input information may include a new construction time, network element identification information, and route information about the network element (S301).

Accordingly, the integrated network management system confirms that there is a new network element, and unlike the regular knowledge data generation process that is usually performed through performance data statistics for 8 weeks, a separate knowledge data generation process for the network element is performed. Proceed.

At this time, the existence of the new network element may be confirmed by the registration of the operator, and may also be confirmed as the performance data for the specific network element is first collected from the switching center.

And, if the performance data for the network element is accumulated for a minimum period (e.g., more than two days, preferably three days) through the switching center (S302, S303), the performance data for each time period without considering the day of the week The temporary knowledge data is calculated by averaging (S304).

Of course, the test data of the performance data is abnormally large test data and large deviation data is removed and the rest are averaged to generate temporal knowledge data for the network element.

The temporary knowledge data generated in this way is stored in the knowledge-based database, sampled at predetermined intervals, and stored in the shared memory as knowledge-based analysis data. In addition, the knowledge analysis data and the real-time performance monitoring data of the network elements are compared and analyzed by the comparative analysis function of the integrated network management system, and when the comparison result is less than the threshold set, an alarm is generated.

Thus, the present invention can quickly monitor and take appropriate measures through the temporary knowledge data even after a minimum period (3 days) for the new network element.

In addition, if the performance monitoring data for the new network element is accumulated for more than one week (or two weeks) (S305), the integrated network management system generates the knowledge data for the network element by applying a regular knowledge data generation process. . That is, the accumulated performance data collected for one week or more are classified by day and time zone, and averaged, respectively, to generate knowledge data by day and time zone for the network element.

At this time, the generation of the knowledge data is executed while gradually increasing the cumulative amount of the performance data in units of two weeks (for example, 1, 3, 5, 7 weeks).

And, if the performance data for the new network element is collected and accumulated for more than 8 weeks, the knowledge data is generated by averaging the performance data statistics for each day of the week and the time zone for 8 weeks as in the process of generating the knowledge data for other network elements. .

On the other hand, when an event such as a ski resort, school vacation, summer resort, rally occurrence, etc. occurs in a particular area, the traffic volume during the event period in that particular area is rapidly increased or decreased compared to the daily traffic volume.

If you apply the regular knowledge data generation process that generates knowledge data with the accumulated performance data of 8 weeks for the event occurrence area (or network element), the network environment change according to the event occurrence is reflected in the knowledge data. False alarms can occur. That is, the current data state is not reflected in the knowledge data because the rapidly increasing or decreasing performance data of the current network state is judged to be a large deviation data, rather, it is removed and the knowledge data is calculated.

Therefore, it is necessary to apply a separate knowledge data generation process for the network element and the event duration of the event occurrence area.

4 is a flowchart illustrating a process of optimizing knowledge data for event registration according to the present invention.

As shown in FIG. 4, when a sudden change in the traffic amount is expected as usual due to an event occurrence, the operator registers and inputs information on the event. In this case, information on the scheduled event date and duration, expected traffic increase, loss (rate), related network elements, and the like are input as event information. The expected traffic increase and decrease rate may be input differently for each day and time of the event period (S401).

Accordingly, the integrated network management system checks the event occurrence date and related network elements through the input information, and proceeds with a separate knowledge data generation process instead of the regular knowledge data generation process for the event period.

First, when the event occurrence date starts (S402), the integrated network management system applies the input traffic increase / decrease rate to the usual knowledge data for the corresponding network element by day and time zone, and the day of the corresponding network element for the event period. And calculating the knowledge data for each time zone. (S403)

That is, the usual knowledge data of the network element * traffic increase and decrease rate = knowledge data during the event period.

As described above, the event data can be adjusted according to the current network environment and compared with the real-time performance monitoring data to prevent the occurrence of false alarms.

On the other hand, when the event end date arrives (S404), the integrated network management system restores and applies the knowledge data on the network element to the normal state (S405).

Such a method of restoring knowledge data is to divide the knowledge data at the event of the network element by the day of the week and the time zone into traffic knowledge / decrement rate as restoration knowledge data and apply it only for a predetermined period (for example, one week after the end of the event). That is, a method of generating reconstructed knowledge data by averaging the cumulative performance data for each day and time of a predetermined period (for example, 8 weeks) excluding the knowledge data / traffic increase / decrease rate = recovery knowledge data at the event or the event period. You can run

On the other hand, if the configuration information for a particular network element is changed, such as equipment relocation or changes in the surrounding environment, and a traffic volume that is completely different from the usual knowledge data is expected, the operator registers the recognized configuration change information. It is necessary to create new knowledge data suitable for the configuration state.

5 is a flowchart illustrating a process of optimizing knowledge data at the time of registering configuration information change by an operator according to the present invention.

First, the operator inputs and registers the configuration change information for the change network element through the operator terminal. That is, the identification information for the change network element and information such as expected traffic increase and decrease rate are registered.

Accordingly, the integrated network management system calculates the knowledge data after the change by applying the traffic increase and decrease rate to the knowledge data before the change by day and time for the corresponding change network element (S502).

In other words, knowledge data before changing configuration information by each day and time zone * traffic increase / decrease rate = knowledge data after configuration information change.

The method of calculating the changed knowledge data is applied only to a predetermined period (for example, one week) after the configuration information is changed (S503). After the predetermined period has elapsed, the newly collected and accumulated performance monitoring data after the configuration information is changed by day. And averaged by time zones to calculate the knowledge data (S504).

Thus, according to the present invention, when the configuration information is changed for a particular network element, it is possible to quickly generate optimal knowledge data accordingly to prevent the occurrence of false alarms, and after a predetermined period has elapsed, the regular knowledge data By applying the creation process, it is possible to efficiently monitor network failures.

As described above, in the network management system according to the present invention, a method of optimizing knowledge data by an operator's input includes optimal knowledge data on a current network state when a network environment changes, such as network element creation, event generation, or configuration information change. By quickly calculating and applying, it is possible to effectively eliminate false alarms caused by changes in the network environment rather than actual network failures, thereby preventing confusion of the monitoring system and improving service quality to customers.

What has been described above is just one embodiment for implementing the knowledge data optimization method by the operator input in the network management system according to the present invention, the present invention is not limited to the above-described embodiment, the following claims Without departing from the gist of the present invention claimed in the scope, anyone of ordinary skill in the art will have the technical spirit of the present invention to the extent that various modifications can be made.

1 is a block diagram of a conventional integrated network management system.

Figure 2 is a block diagram of an integrated network management system to which the present invention is applied.

3 is a flowchart showing a process of optimizing knowledge data for registration of a new network element according to the present invention;

4 is a flowchart illustrating a process of optimizing knowledge data for event registration according to the present invention.

5 is a flowchart illustrating a process of optimizing knowledge data for registering configuration information change according to the present invention.

<Description of the symbols for the main parts of the drawings>

100: shared memory 110: knowledge-based analysis data

120: event information management data

130: performance monitoring data 140: alarm information data

200: knowledge base

300: exchange 400: operator terminal

Claims (4)

The averaged performance monitoring data collected for each network element is averaged to calculate the knowledge data, and when the result of comparing and analyzing the knowledge data of each network element and the real-time performance monitoring data is above the predetermined threshold, an alarm is issued. In the generated integrated network management system, Inputting, by the operator, relevant information about the new network element; Identifying the new network element in the integrated network management system and executing a temporary knowledge data generation process for the network element; Calculating and applying temporary knowledge data by averaging for each time zone without considering the day of the week when the monitoring data of the new network element is accumulated during the first period; And And when the monitoring data of the new network element is accumulated during the second period, classifying the accumulated monitoring data by day and time zone and averaging them to calculate and apply the knowledge data for each day and time zone of the new network element. Optimization method of knowledge data by operator input in a network management system. The averaged performance monitoring data collected for each network element is averaged to calculate the knowledge data, and when the result of comparing and analyzing the knowledge data of each network element and the real-time performance monitoring data is above the predetermined threshold, an alarm is issued. In the generated integrated network management system, Registering, by the operator, event duration, expected traffic increase and decrease rate, and information on related network elements; When the integrated network management system reaches the registered event period, executing a process of generating knowledge data according to the event for a related network element; For the event period, calculating and applying the knowledge data by day and time zone by applying the expected traffic increase and decrease rate to the usual knowledge data of the relevant network element; And When the event is finished, restoring and applying the knowledge data of the day and time zone for the relevant network element to the normal state; Knowledge data optimization method by the input of the operator in the network management system, characterized in that consisting of. The method of claim 2, wherein the restoring the knowledge data comprises: The knowledge data during the event period for the relevant network element is divided into the expected traffic increase and decrease rate as restoration knowledge data, or the cumulative performance data for each period of the day and time period except the performance monitoring data collected during the event period are averaged. A method of optimizing knowledge data by an operator's input in a network management system, characterized in that executed by a method of generating restored knowledge data. The averaged performance monitoring data collected for each network element is averaged to calculate the knowledge data, and when the result of comparing and analyzing the knowledge data of each network element and the real-time performance monitoring data is above the predetermined threshold, an alarm is issued. In the generated integrated network management system, Inputting, by the operator, identification information of the configuration change network element and information of expected traffic increase and decrease rate; Calculating and applying the knowledge data after the change by applying an expected traffic increase / decrease rate to the knowledge data before the change by day and time for the configuration change network element in the integrated network management system for a predetermined period after the configuration change; And After the configuration change, if the performance monitoring data for the change network element is accumulated over a predetermined period, calculating and applying the knowledge data by averaging the newly collected and accumulated monitoring data after the change by day and time zone; Optimization of knowledge data by operator's input in network management system.