CN102014414A - Network optimization intelligent decision wizard system and automatic analysis method - Google Patents
Network optimization intelligent decision wizard system and automatic analysis method Download PDFInfo
- Publication number
- CN102014414A CN102014414A CN2010106056125A CN201010605612A CN102014414A CN 102014414 A CN102014414 A CN 102014414A CN 2010106056125 A CN2010106056125 A CN 2010106056125A CN 201010605612 A CN201010605612 A CN 201010605612A CN 102014414 A CN102014414 A CN 102014414A
- Authority
- CN
- China
- Prior art keywords
- data
- intelligent decision
- index
- unit
- node
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention belongs to the technical field of wireless communication network optimization and particularly relates to a network optimization intelligent decision wizard system and an automatic analysis method. The system comprises a database unit, an index library unit, a rule library unit, a node library unit and a wizard library unit, wherein the database unit is used for storing telephone traffic statistic data, Abis data, warning data and various parameter data in a wireless communication network; the index library unit is used for storing various telephone traffic indexes, an Abis data index, a warning data index and various parameter indexes, which are summarized and abstracted from the database unit; the rule library unit is used for acquiring data indexes from the index library unit and generating various rules through function calculation; the node library unit is used for generating independent and reusable nodes according to certain or combination of some of rules in the rule library unit; and the wizard unit is used for sequencing nodes according to an analysis flow and forming an intelligent decision analysis wizard. The system and the method can regulate a network problem processing flow, improve network optimization rate and network benefits and improve network service quality and continuous development capability.
Description
Technical field
The invention belongs to the wireless communication network optimization technology, be specifically related to a kind of network optimization intelligent decision guidance system and automated analysis method.
Background technology
The cordless communication network scale increases substantially fast, network complexity improves constantly, make the network optimization as long-term incremental practicality system engineering, need advanced hardware device and means of testing, software supporting method that perfect functions is powerful and optimization personnel's correlation experience, this has all proposed higher challenge to the network optimization.
Existing network optimization work, what take basically is artificial analytical method, pinpoints the problems by conventional meanses such as drive test, complaint, index analysis, alarm maintenances.Each relevant information logicality is not strong, relevance is poor, and the repeatability of FAQs is consuming time too much on the Treatment Analysis, a large amount of optimization personnel sink in the repeated loaded down with trivial details cell-level optimization, and links such as the formulation of network optimization scheme, execution, assessment, popularization also lack standardization management and control means.
At present, data acquisition in the network optimization process and statistical analysis, aspects such as frequency planning are finished by means of some instruments and software.But the committed step of the network optimization relies on experienced network optimization engineer to finish as fault analysis and location, prioritization scheme formulation etc. are still main.
Existing network optimization means can't reflect the fine or not degree of network service quality objective, all sidedly, only are based on the optimization of KP worker's index, and the quality of optimizing achievement depends on optimization personnel's self quality fully.Daily optimization work needs to extract earlier index usually, and then index is analyzed, and a large amount of time has been wasted in these daily operations for network optimization personnel.During optimization, concrete prioritization scheme does not have the scheme of standard strictness, can't deal with problems from root, handles problems and grabs less than emphasis, and operating efficiency is low, brings the loss of human and material resources and financial resources.
Summary of the invention
The objective of the invention is to defective at prior art, a kind of network optimization intelligent decision guidance system and automated analysis method are provided, this system can the standard network problem handling process, improve network optimization efficient and network benefit, promote network overall quality of service and sustainable development capacity.
Technical scheme of the present invention is as follows: a kind of network optimization intelligent decision guidance system comprises:
Database Unit is used for storing traffic measurement data, Abis data, alarm data, the various supplemental characteristic of cordless communication network;
The index library unit is used for storing the various traffic measurement indexs, Abis data target, alarm data index, the various parameter index that come out from the Database Unit summary abstraction;
The rule base unit is used for obtaining data target from the index library unit, by the mathematical operation of correlation function, generates various rules;
The node library unit is used for the combination according to rule base unit certain or some rule, generates independent reusable node, the step that on behalf of intelligent decision, each node analyze;
The guide library unit is used for according to analysis process each node being linked to be sequence, forms intelligent decision and analyzes guide.
A kind of network optimization intelligent decision automated analysis method comprises the steps:
(1) intelligent decision is analyzed required storage in database;
(2) will be stored in data in the database, summary abstraction comes out, and forms various traffic measurement indexs, Abis data target, alarm data index, various parameter index;
(3) according to the needs of analyzing,, generate various rules with of the mathematical operation of various data targets by correlation function;
(4), principle combinations is become independent reusable node, the step that the node representative is analyzed according to the needs of analyzing;
(5) according to analysis process each node is linked to be sequence, forms intelligent decision and analyze guide.
Beneficial effect of the present invention is as follows: network optimization intelligent decision guidance system provided by the present invention and automated analysis method are implemented in network optimization personnel's optimization experience among the software, automatically analyze the network optimization scheme that forms, and than network optimization analysis expert problem more comprehensively, more efficient, more deep.Rely on the intelligent decision of key technique to realize, make the case study conclusion of difficulty more accurate, help the basic reason of orientation problem and obtain best solution, significant to globality multi-angle optimization lifting client perception network quality and Very Important Person satisfaction.
Description of drawings
Fig. 1 forms schematic diagram for the structure of network optimization intelligent decision guidance system;
Fig. 2 is the flow chart of network optimization intelligent decision automated analysis method;
Fig. 3 is the regular generative process schematic diagram of " up weak the covering judged ";
Fig. 4 is the several node instance schematic diagrames that are based upon on the rule;
Fig. 5 is the optimization guide schematic diagram in the real system that is built in conjunction with a plurality of nodes.
Embodiment
Describe the present invention below in conjunction with embodiment and accompanying drawing.
As shown in Figure 1, network optimization intelligent decision guidance system provided by the present invention comprises:
Database Unit is used for storing traffic measurement data, Abis data, alarm data, the various supplemental characteristic of cordless communication network.By with the OMC of producer operating platform interface conjunctionn, ftp file download, the importing of extended formatting file etc., multiple alternative data acquisition modes is realized the typing of traffic measurement data, alarm data, various supplemental characteristics.The interface compatibility producer signaling acquisition system of standard, the signal collecting plateform system of other producers, and other optimum management platforms.Database Unit is to make up the prerequisite that radio network optimization is analyzed guide, and rich, the integrality of database information and multi-dimensional nature are for the application of network optimization intelligent decision guide provides guarantee.
The index library unit is used for being stored in various traffic measurement indexs that the Database Unit summary abstraction comes out, Abis data target, alarm data index, various parameter indexs etc.The deep use to initial index is supported in the index storehouse, on the basis of initial index, by corresponding logic rules, generates two-level index, offers rule base and enriches detailed index source, improves the breadth and depth of problem analysis.
For example, Abis mouth data target abstraction process.Utilize the content in measurement report (MR) surveying record: comprise the uplink and downlink signals intensity of measuring the sub-district, uplink and downlink signals quality, up-downgoing path loss, TA, BTS/MS transmitting power etc., by Target cell is carried out the MR surveying record, can obtain more detailed sub-district up-downgoing wireless messages.Measurement report is calculated, can take out following index:
The rule base unit relies on expert's network optimization experience for many years, at all kinds of problems in the network, obtains data target from the index library unit, by the mathematical operation of correlation function, generates various rules; Correlation function comprises logical function, mathematical function, character string function, GSM analytic function.The utilization of various functions is to choose according to the generation demand of concrete rule, and those skilled in the art can be according to actual conditions, and the characteristics of binding rule realize the computing of being correlated with.The regular generative process that Fig. 3 has represented is a kind of " up weak the covering judged ", select corresponding achievement data and operation function after, the rule that obtains is expressed as follows:
Math.top (data, ' ABIS index { the up weak MR ratio [ABI00600070000100013] that covers } ', ")＞10
Various rule all can be generated by relevant data target and operation function, and those skilled in the art can be formulated according to the needs of particular problem, the formation rule storehouse.Emphasis of the present invention does not also lie in concrete rule and how to formulate, and is how various rules specifically are applied in the middle of the generation of follow-up node the fundamental analysis unit when obtaining analyzing.Abundant rule base flexibly can for the user in use according to concrete network environment and network problem, constantly be optimized and revised, and finally forms and be cured as the rule base of the problem judgement that is fit to local characteristic.
The node library unit is used for the combination according to rule base module certain or some rule, generates independent reusable node, the step that on behalf of intelligent decision, each node analyze.
Node is a judgement that is based upon on certain rule or some principle combinations basis in network optimization intelligent decision guidance system, is used to judge whether the result of certain alanysis is normal, is independently analysis logic of an analytical procedure.It comes from the experience of routine analysis, is the fundamental analysis unit when all problems is analyzed, and in the system of reality, each node all is called as service, and these services can be multiplexing by a plurality of guides.Node is realized the arrangement flow process of guide by the judgement of rule.The rule that each node comprises, corresponding solution in all corresponding experience storehouse, after the node judgement satisfies condition, auto-associating experience storehouse, and finally export solution.As shown in Figure 4, for being based upon the several nodes on the rule, comprise main collection receive path alarming node, up weak overlay node, area covered node.
The guide library unit is used for according to analysis process each node being linked to be sequence, forms intelligent decision and analyzes guide.The realization logic of guide adopts the method for similar artificial treatment network problem, and the thinking of imitation artificial treatment problem, the automation that problem of implementation is handled.The analysis optimization guide of disparate networks problem can be set up in the guide editing machine in real system, be revised certain guide, continues to optimize the flow process of guide, allows the issue handling of guide have more standardization and intellectuality, is fit to local application.Shown in Figure 5, be the optimization guide in the real system that is built in conjunction with a plurality of nodes.
As shown in Figure 2, use the automated analysis method that above-mentioned network optimization intelligent decision guidance system is carried out, comprise the steps:
Step 1 is analyzed required storage in database with intelligent decision; Data comprise traffic measurement data, Abis data, alarm data, various supplemental characteristic.
Step 2, with the data that are stored in the Database Unit, summary abstraction comes out, and forms various traffic measurement indexs, Abis data target, alarm data index, various parameter indexs etc.
Step 3, the needs according to analyzing with the mathematical operation of the data target in the index storehouse by correlation function, generate various rules; Correlation function comprises logical function, mathematical function, character string function, GSM analytic function.
Step 4 according to the needs of analyzing, becomes independent reusable node with principle combinations, the step that the node representative is analyzed.
Step 5 is linked to be sequence according to analysis process with each node, forms intelligent decision and analyzes guide.
The application in the network optimization by network optimization intelligent decision guidance system of the present invention and automated analysis method, the daily network problem of solution is had regulations to abide by, advance network optimization work " centralization, standardization, informationization, refine ", be in particular in following several respects:
1) network optimization intelligent decision guidance system, more objective, reflected the fine or not degree of network service quality all sidedly.It is not only analysis to network operation index, and combine Abis network fluoroscopy system, from the whole network to the sub-district and carrier frequency, carry out the multianalysis from integral body to the part, the decision-making that propose solution on the basis of analyzing, improves makes the solution intellectuality and the automation of network problem;
2) network optimization intelligent decision guidance system, the field that relates to is extensive, contained the quality class, resources-type, insert class, call drop class, cover many aspects such as class, the problem in the network can comprehensively be displayed;
3) network optimization intelligent decision guidance system has improved the accuracy of positioning problems greatly in conjunction with the practical experience of the network optimization expert network optimization for many years, fundamentally solves network high-speed and increases the human and material resources brought and the loss of financial resources;
4) network optimization intelligent decision guidance system, can greatly increase work efficiency, for example much optimize need of work at ordinary times and extract index earlier, and then index is analyzed, the extraction and the whole automations of analytical work of index can be saved a large amount of time for network optimization personnel now;
5) flow process of network optimization intelligent decision guidance system offers the rational thinking of optimization personnel, and for the judgement of problem more comprehensively, the direction of thinking is more accurate, can better cultivate and promote to optimize personnel's progress.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these are revised and modification belongs within the scope of claim of the present invention and equivalent technology thereof, then the present invention also is intended to comprise these changes and modification interior.
Claims (4)
1. network optimization intelligent decision guidance system comprises:
Database Unit is used for storing traffic measurement data, Abis data, alarm data, the various supplemental characteristic of cordless communication network;
The index library unit is used for storing the various traffic measurement indexs, Abis data target, alarm data index, the various parameter index that come out from the Database Unit summary abstraction;
The rule base unit is used for obtaining data target from the index library unit, by the mathematical operation of correlation function, generates various rules;
The node library unit is used for the combination according to rule base unit certain or some rule, generates independent reusable node, the step that on behalf of intelligent decision, each node analyze;
The guide library unit is used for according to analysis process each node being linked to be sequence, forms intelligent decision and analyzes guide.
2. a network optimization intelligent decision automated analysis method comprises the steps:
(1) intelligent decision is analyzed required storage in database;
(2) will be stored in data in the database, summary abstraction comes out, and forms various traffic measurement indexs, Abis data target, alarm data index, various parameter index;
(3) according to the needs of analyzing,, generate various rules with of the mathematical operation of various data targets by correlation function;
(4), principle combinations is become independent reusable node, the step that the node representative is analyzed according to the needs of analyzing;
(5) according to analysis process each node is linked to be sequence, forms intelligent decision and analyze guide.
3. network optimization intelligent decision automated analysis method as claimed in claim 2 is characterized in that: the data that are stored in the step (1) in the database comprise traffic measurement data, Abis data, alarm data, various supplemental characteristic.
4. network optimization intelligent decision automated analysis method as claimed in claim 2 is characterized in that: generate the used correlation function of various rules in the step (2) and comprise logical function, mathematical function, character string function, GSM analytic function.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010106056125A CN102014414A (en) | 2010-12-24 | 2010-12-24 | Network optimization intelligent decision wizard system and automatic analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2010106056125A CN102014414A (en) | 2010-12-24 | 2010-12-24 | Network optimization intelligent decision wizard system and automatic analysis method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102014414A true CN102014414A (en) | 2011-04-13 |
Family
ID=43844380
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2010106056125A Pending CN102014414A (en) | 2010-12-24 | 2010-12-24 | Network optimization intelligent decision wizard system and automatic analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102014414A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102566536A (en) * | 2011-12-23 | 2012-07-11 | 无锡奥伯尼科技有限公司 | System flow control device and system flow control method |
| CN102595453A (en) * | 2011-12-30 | 2012-07-18 | 广州市贝讯通信技术有限公司 | Quasi-real-time intelligent optimization system |
| CN102957813A (en) * | 2011-08-25 | 2013-03-06 | 广州银禾网络通信有限公司 | Telephone traffic data processing method and system of mobile communication network |
| CN103686780A (en) * | 2012-09-10 | 2014-03-26 | 北京亿阳信通科技有限公司 | Method and device for utilizing multiple data to perform comprehensive intelligent analysis |
| CN107371183A (en) * | 2016-05-11 | 2017-11-21 | 大唐移动通信设备有限公司 | A kind of output intent and device of network quality report |
| CN114071515A (en) * | 2021-11-08 | 2022-02-18 | 北京东土拓明科技有限公司 | Network optimization method, device, equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1941985A (en) * | 2005-09-27 | 2007-04-04 | 北京日讯在线科技有限公司 | System and method for analyzing measuring wireless network data based on knowledge deduction |
| CN101202573A (en) * | 2007-03-30 | 2008-06-18 | 厦门特力通科技有限公司 | Intelligent straight placement station and parameter automatic adjustment method |
| CN101877857A (en) * | 2009-04-28 | 2010-11-03 | 五邑大学 | Intelligent decision support system for mobile communication network optimization |
| CN201657329U (en) * | 2010-02-04 | 2010-11-24 | 西安方诚通讯技术服务有限公司 | Wireless network optimization computer analyzing system |
-
2010
- 2010-12-24 CN CN2010106056125A patent/CN102014414A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1941985A (en) * | 2005-09-27 | 2007-04-04 | 北京日讯在线科技有限公司 | System and method for analyzing measuring wireless network data based on knowledge deduction |
| CN101202573A (en) * | 2007-03-30 | 2008-06-18 | 厦门特力通科技有限公司 | Intelligent straight placement station and parameter automatic adjustment method |
| CN101877857A (en) * | 2009-04-28 | 2010-11-03 | 五邑大学 | Intelligent decision support system for mobile communication network optimization |
| CN201657329U (en) * | 2010-02-04 | 2010-11-24 | 西安方诚通讯技术服务有限公司 | Wireless network optimization computer analyzing system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102957813A (en) * | 2011-08-25 | 2013-03-06 | 广州银禾网络通信有限公司 | Telephone traffic data processing method and system of mobile communication network |
| CN102566536A (en) * | 2011-12-23 | 2012-07-11 | 无锡奥伯尼科技有限公司 | System flow control device and system flow control method |
| CN102595453A (en) * | 2011-12-30 | 2012-07-18 | 广州市贝讯通信技术有限公司 | Quasi-real-time intelligent optimization system |
| CN103686780A (en) * | 2012-09-10 | 2014-03-26 | 北京亿阳信通科技有限公司 | Method and device for utilizing multiple data to perform comprehensive intelligent analysis |
| CN103686780B (en) * | 2012-09-10 | 2018-09-21 | 北京亿阳信通科技有限公司 | A kind of method and device carrying out comprehensive intelligent analysis using a variety of data |
| CN107371183A (en) * | 2016-05-11 | 2017-11-21 | 大唐移动通信设备有限公司 | A kind of output intent and device of network quality report |
| CN114071515A (en) * | 2021-11-08 | 2022-02-18 | 北京东土拓明科技有限公司 | Network optimization method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102014414A (en) | Network optimization intelligent decision wizard system and automatic analysis method | |
| CN106096810B (en) | Method and system for planning based on power distribution network operation data Yu geographical topology information | |
| CN101835182A (en) | Analyzing system and analyzing method for wireless network optimizing computer | |
| CN105227369B (en) | Based on the mobile Apps of the mass-rent pattern analysis method to the Wi-Fi utilization of resources | |
| CN108260075A (en) | A kind of addressing method and device of base station deployment position | |
| CN110636515A (en) | Network planning evaluation method of electric power wireless private network | |
| CN103796227B (en) | Carry out the method and system of wireless signal covering analyzing | |
| CN106446016A (en) | Parallel association rule mining-based method for predicting running reliability of power distribution network | |
| CN103108343B (en) | Set up method and device, network performance optimizing method and the device of decision tree | |
| CN109429264B (en) | Data processing method, device, equipment and computer readable storage medium | |
| CN104754590A (en) | Method and device for assessing LTE (long term evolution) network sites | |
| CN103797755B (en) | Evaluation method and device for network key performance indicators | |
| CN102457872A (en) | Method and device for automatically optimizing adjacent cell | |
| CN113382477B (en) | Method for modeling uplink interference between wireless network users | |
| CN103458434B (en) | Method and device for determining antenna feeder parameters | |
| CN102521706A (en) | KPI data analysis method and device for the same | |
| CN102498735B (en) | For the method and apparatus that community controls | |
| CN110493720A (en) | Localization method, device and the storage medium of terminal | |
| CN103985022A (en) | Intelligent substation secondary equipment operation and maintenance decision support system and data analysis method | |
| CN112235821A (en) | Pilot frequency signal intensity prediction method based on AI model | |
| CN103957531B (en) | The method and apparatus that signal testing is carried out using intelligent communications terminal | |
| CN106454900A (en) | Mobile communication network user perception analysis and optimization system based on smart terminal | |
| CN106714189A (en) | Method and device for analyzing cell over coverage | |
| CN201657329U (en) | Wireless network optimization computer analyzing system | |
| CN117458678A (en) | Active equalization battery management system for lead-acid battery pack |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20110413 |