CN103763727A - Wireless network optimization data collecting and analyzing method based on Internet - Google Patents

Abstract

The invention discloses a method for collecting and analyzing wireless network optimization data based on the Internet, which comprises the following steps: S1, remote wireless network optimization equipment collects wireless network optimization data; S2, a central server connects to the remote wireless network optimization equipment through the Internet, and sends Collection instructions; S3. After receiving the collection instructions, the wireless network optimization equipment sends back the wireless network optimization data to the central server through the Internet; S4. The central server saves the wireless network optimization data on the local database; S5. The central server optimizes the data according to all wireless networks. The data generates charts that can be analyzed by users; S6. The central server monitors wireless network optimization data in real time, analyzes and optimizes data trends, and automatically generates warning events to notify users. The method of the invention realizes real-time monitoring of network quality data collected by network optimization equipment, browses historical network quality data, can effectively help analyze network communication problems, and automatically generates dangerous events to notify users for processing.

Description

Internet-based wireless network optimization data collection and analysis method

technical field

The invention relates to the technical field of wireless network optimization, in particular to an Internet-based method for collecting and analyzing wireless network optimization data.

Background technique

In recent years, mobile communication technology has developed rapidly. The coverage rate of mobile communication network is constantly increasing, and mobile communication has penetrated into people's work and life, bringing great convenience to people. People often use mobile phones to communicate. But at the same time, due to the large number of people using mobile phones and the wide coverage of mobile networks, it is difficult to guarantee the network quality of mobile communications, and it is prone to problems such as slow Internet access and inability to make calls.

In order to solve this problem, communication technology service providers usually deploy some wireless network optimization devices on the base station site to collect network optimization data. However, collecting these network optimization data also has the following problems and deficiencies:

(1) The wireless network optimization device is unstable during operation, which may easily cause loss of network optimization data.

(2) The network optimization equipment is distributed in each base station. To analyze the data, technicians must go to the site to operate it, which wastes manpower and material resources.

(3) Network optimization equipment only provides current network optimization data, but cannot provide historical data and warnings of dangerous events.

(4) The entire network optimization system lacks a unified management platform, the network optimization data is scattered, and the data cannot be presented intuitively in the form of charts.

Contents of the invention

The purpose of the present invention is to overcome the deficiencies of the prior art, and provide an Internet-based wireless network optimization data collection and analysis method for real-time collection of optimization data, unified storage of optimization data, and timely provision of dangerous event warnings.

In order to achieve the above object, the technical solution adopted in the present invention is a method for collecting and analyzing Internet-based wireless network optimization data, comprising the following steps:

S1. Remote wireless network optimization equipment collects wireless network optimization data;

S2. The central server connects to the remote wireless network optimization equipment through the Internet, and sends collection instructions;

S3. The wireless network optimization device sends back the wireless network optimization data to the central server through the Internet after receiving the collection instruction;

S4. The central server saves the wireless network optimization data in a local database;

S5. The central server generates charts that can be analyzed by users (network optimization engineers) according to all wireless network optimization data;

S6. The central server monitors the wireless network optimization data in real time, analyzes the trend of the optimization data, and automatically generates a warning event to notify the user (network optimization engineer).

More specifically, the central server in step S2 can automatically connect to the wireless network optimization device according to the pre-configured collection period, and send the collection instruction; the user (network optimization engineer) can also manually send the collection instruction.

More specifically, the wireless network optimization device in step S3 includes not only a professional network optimization data analysis and collection device, but also a computer server.

More specifically, the chart generated in step S5 is automatically updated with the update of the wireless network optimization data, and the refresh cycle is set by the user (network optimization engineer) or by default by the system.

More specifically, the warning event described in step S6 can be automatically and dynamically generated, and the user (network optimization engineer) can be notified in communication methods not limited to SMS, email, and instant message.

More specifically, the method for analyzing and optimizing data trends and automatically generating warning events described in step S6 includes the following steps:

S61. Divide the danger level of the warning event into multiple levels Di according to the needs of the user (network optimization engineer), where i is greater than or equal to 1, and each level corresponds to wireless network optimization data within a certain range; and set a time quantification T;

S62. When the system is initialized, if the currently collected wireless network optimization data falls within the range of a certain level Di, it is determined that the current system is at the corresponding level Di, and the temporary level Dt=Di, and the accumulated time t is set to 0;

S63. When a new round of wireless network optimization data arrives, judge the level Dk of the new wireless network optimization data: if Dk is equal to Dt, then go to S64; if Dk is not equal to Dt, go to S65;

S64. If t is greater than or equal to T, consider the current degree of danger to be Dt, issue a corresponding warning to the user (network optimization engineer), clear t, and return to S63; if t is less than T, then add 1 to t, and return to S63 ;

S65. Change Dt to Dk, clear t, and return to S63.

Compared with the prior art, the beneficial effects of the present invention are:

(1) The present invention uses distributed computing technology to collect wireless network optimization data, changing the previous method of relying on technicians to collect data on site, saving costs and improving efficiency.

(2) The present invention uses caching technology and automatic means to collect wireless network optimization data, without manual intervention, and improves collection efficiency.

(3) The present invention visually displays global network optimization data in the form of charts, helping network optimization engineers to analyze problems.

(4) The present invention can automatically generate a warning event to notify the user (network optimization engineer) according to the trend of wireless network optimization data, eliminating the need for manpower to be on duty.

Description of drawings

FIG. 1 is a diagram of a deployment architecture of an embodiment of the present invention.

Fig. 2 is a flow chart of the processing of the central server of the present invention.

Fig. 3 is a flowchart of the processing of the remote wireless network optimization device according to the present invention.

Fig. 4 is a flow chart of the method for automatically generating warning events in the present invention.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings and examples, but the protection scope of the present invention is not limited to the range expressed in the examples. Other changes and modifications made by those skilled in the art without departing from the spirit and protection scope of the present invention are still included in the protection scope of the claims.

Example

This embodiment is an Internet-based method for collecting and analyzing wireless network optimization data.

As shown in Figure 1, there are three remote wireless network optimization devices distributed on site, connected to the central server through the Internet, and the central server is connected to the local database. As shown in Figure 3, during initialization, the remote wireless network optimization device continuously collects wireless network optimization data, and at the same time monitors whether the central server has a collection command, and if so, sends the data to the central server. On the other hand, as shown in Figure 2, the central server sends collection instructions to the remote wireless network optimization device according to the preset collection period. When the central server completes receiving data and saves it to the database, it will update the newly collected data to the chart , and start to analyze and process the newly collected data.

The process flow of analyzing and automatically generating warning events is shown in Figure 4. First, the user (network optimization engineer) needs to preset each danger level Di (i is greater than or equal to 1) and time quantification T=1. Then the system starts to run automatically. Firstly, the initial risk level Dt of the system is determined, that is, the risk level of the data collected for the first time. When the second data comes, judge the danger level Dk of the second data. Assume that Dk is equal to Dt, and then judge whether t satisfies the condition of being greater than or equal to T. Assuming that t is 0 at this time, it is not satisfied, and there is no need to generate a warning event for the time being. At this time, the system continues to be in the Dt state, at this time t increases from 0 to 1, and continues to wait for the third data arrival. When the third data arrives, analyze in two cases: (a) Assume that the data risk level Dk is not equal to Dt, then set Dt=Dk, and reset t to zero, restart the timing, and wait for the next data (b) Assuming that the data risk level Dk is still equal to Dt, at this time t is 1, and the condition that t is greater than or equal to T has been met, the system immediately generates a warning event and uses the preset notification method (not limited to SMS, Communication methods such as mail and instant message) notify the user (network optimization engineer) and wait for the next data arrival.

The above-mentioned embodiment is a preferred embodiment of the present invention, but the embodiment of the present invention is not limited by the above-mentioned embodiment, and any other changes, modifications, substitutions, combinations, Simplifications should be equivalent replacement methods, and all are included in the protection scope of the present invention.

Claims (6)

1. The collection and analysis method of Internet-based wireless network optimization data, is characterized in that, comprises the following steps: S1. Remote wireless network optimization equipment collects wireless network optimization data; S2. The central server connects to the remote wireless network optimization equipment through the Internet, and sends collection instructions; S3. The wireless network optimization device sends back the wireless network optimization data to the central server through the Internet after receiving the collection instruction; S4. The central server saves the wireless network optimization data in a local database; S5. The central server generates charts available for user analysis according to all wireless network optimization data; S6. The central server monitors the wireless network optimization data in real time, analyzes the trend of the optimization data, and automatically generates a warning event to notify the user. 2. The method for collecting and analyzing Internet-based wireless network optimization data according to claim 1, characterized in that: the central server in step S2 can automatically connect to the wireless network optimization device according to the pre-configured collection cycle, and send the collected instruction; the operation of sending collection instruction can also be manually performed by the user. 3. The method for collecting and analyzing Internet-based wireless network optimization data according to claim 1, wherein the wireless network optimization equipment in step S3 includes both professional network optimization data analysis and collection equipment and a computer server. 4. The method for collecting and analyzing Internet-based wireless network optimization data according to claim 1, wherein the chart generated in step S5 is automatically updated with the update of the wireless network optimization data, and the refresh cycle is determined by the user. Set or press the system default. 5. The method for collecting and analyzing Internet-based wireless network optimization data according to claim 1, characterized in that: the warning event described in step S6 can be automatically and dynamically generated, and can be not limited to short messages, emails and instant messages, etc. means of communication to notify the user. 6. The method for collecting and analyzing Internet-based wireless network optimization data according to claim 1, wherein the analysis and optimization data trend described in step S6, and the method for automatically generating a warning event include the following steps: S61. Divide the danger level of the warning event into multiple levels Di according to the needs of the user, where i is greater than or equal to 1, and each level corresponds to wireless network optimization data within a certain range; and set a time quantification T; S62. When the system is initialized, if the currently collected wireless network optimization data falls within the range of a certain level Di, it is determined that the current system is at the corresponding level Di, and the temporary level Dt=Di, and the accumulated time t is set to 0; S63. When a new round of wireless network optimization data arrives, judge the level Dk of the new wireless network optimization data: if Dk is equal to Dt, then go to S64; if Dk is not equal to Dt, go to S65; S64. If t is greater than or equal to T, consider that the current degree of danger is Dt, issue a corresponding warning to the user, clear t, and return to S63; if t is less than T, then add 1 to t, and return to S63; S65. Change Dt to Dk, clear t, and return to S63.

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