CN107147514B - Power communication network optimization resource configuration method and system - Google Patents
Power communication network optimization resource configuration method and system Download PDFInfo
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H—ELECTRICITY
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Abstract
The invention discloses a communication network optimization resource allocation method and a device, comprising the following steps: establishing an analysis model according to the historical data of the service flow of the power communication network, the historical data of the quality of the power communication network, the historical data of service characteristics and the historical data of the use behavior of a user, wherein the analysis model is used for evaluating the corresponding relation among the quality of the power communication network, the objective service type and the user experience; acquiring real-time data of service flow of the power communication network, and evaluating the real-time data by using the analysis model to obtain the real-time quality of the power communication network; and performing optimized resource allocation on the power communication network according to the real-time quality. The method and the device analyze the relationship among user experience, objective service and network quality through the network real-time service volume data and regional user behavior data, establish a model, and analyze the service bearing and the network health condition in real time, thereby dynamically tracking user perception, optimizing the resource allocation of the network and realizing intellectualization.
Description
Technical Field
The present invention relates to the field of power communication network technologies, and in particular, to a method and a system for optimizing resource allocation in a power communication network.
Background
The data service rate of the power communication network which changes at high speed, huge network throughput and dynamic real-time change of the coverage range change the existing network planning and optimization model to a great extent, the network optimization is a work with great technical difficulty, wide involved range and higher personnel quality requirement, and the involved technical fields comprise exchange technology, frequency configuration, switching and signaling, traffic statistical analysis and the like.
In the process of implementing the invention, the inventor finds that the prior art has at least the following problems: the traditional power communication network optimization work mostly depends on the experience of technicians and manual statistical analysis. The automation degree of network optimization is low, and a large amount of time, manpower and material resources are consumed in the optimization process, so that a large amount of resource waste is caused, and the timeliness of solving network problems is influenced. In addition, the optimization engineer analyzes and compares the network data by means of personal experience, rather than comprehensively obtaining an optimization scheme according to the data related to the network, which has certain limitations.
Disclosure of Invention
In view of the above, the present invention provides a method and a system for configuring optimized resources of an electrical power communication network, so as to solve the problem of low automation degree of optimization of the electrical power communication network in the prior art.
Based on the above object, an aspect of the embodiments of the present invention provides a method for configuring optimized resources of a communication network, including:
establishing an analysis model according to the historical data of the service flow of the power communication network, the historical data of the quality of the power communication network, the historical data of service characteristics and the historical data of the use behavior of a user, wherein the analysis model is used for evaluating the corresponding relation among the quality of the power communication network, the objective service type and the user experience;
acquiring real-time data of service flow of the power communication network, and evaluating the real-time data by using the analysis model to obtain the real-time quality of the power communication network;
and performing optimized resource allocation on the power communication network according to the real-time quality.
Optionally, the performing optimized resource configuration on the power communication network according to the real-time quality specifically includes:
and performing whole network optimization resource allocation and regional targeted optimization resource allocation on the power communication network according to the real-time quality of the power communication network.
Optionally, the performing, according to the real-time quality of the power communication network, a network-wide optimized resource configuration on the power communication network specifically includes:
simulating network planning according to the network load development trend by analyzing the network load, the obstacle reporting condition and the resource utilization rate of a core network, an access network and a wireless network, and optimizing resource allocation; or optimizing resource allocation based on alarm correlation analysis barrier types.
Optionally, the performing, according to the real-time quality of the power communication network, area-specific optimized resource configuration on the power communication network specifically includes:
optimizing resource allocation at a specific time and a specific local area based on user behavior analysis of the hot spot area; or optimizing the network load capacity of each protocol in each time period based on analyzing the influence of each network protocol on the network load.
Optionally, the performing, according to the real-time quality of the power communication network, a whole-network optimized resource configuration and a region-specific optimized resource configuration on the power communication network specifically includes:
and executing the whole network optimization resource configuration and the region-specific optimization resource configuration based on a decision tree ID3 algorithm.
Based on the same objective, another aspect of the embodiments of the present invention provides a communication network optimized resource allocation system, which is characterized by comprising:
the model establishing module is used for establishing an analysis model according to the historical data of the service flow of the power communication network, the historical data of the quality of the power communication network, the historical data of service characteristics and the historical data of user use behaviors, and the analysis model is used for evaluating the corresponding relation among the quality of the power communication network, the objective service type and the user experience;
the evaluation module is used for acquiring real-time data of the service flow of the power communication network, and evaluating the real-time data by using the analysis model to obtain the real-time quality of the power communication network;
and the optimization configuration module is used for performing optimization resource configuration on the power communication network according to the real-time quality.
Optionally, the optimization configuration module is configured to perform, according to the real-time quality of the power communication network, a network-wide optimization resource configuration and a region-specific optimization resource configuration on the power communication network.
Optionally, the optimization configuration module is configured to simulate a network plan according to a network load development trend by analyzing network loads of a core network, an access network, and a wireless network, obstacle reporting conditions, and resource utilization rates, and optimize resource configuration; or for optimizing resource configuration based on alarm correlation analysis barrier types.
Optionally, the optimization configuration module is configured to optimize resource configuration at a specific time and in a specific area based on user behavior analysis in a hot spot area; or the method is used for optimizing the network load capacity of each protocol in each time period based on analyzing the influence of each network protocol on the network load.
Optionally, the optimization configuration module is configured to execute the full-network optimized resource configuration and the area-specific optimized resource configuration based on a decision tree ID3 algorithm.
From the above, the power communication network resource configuration optimizing method provided by the invention establishes a model for analyzing the relationship between user experience, objective service and network quality through network real-time traffic data and regional user behavior data, and analyzes the service bearing and network health condition in real time, thereby dynamically tracking user perception, optimizing the resource configuration of the network, and realizing intellectualization.
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Fig. 1 is a schematic flowchart of an embodiment of a method for optimizing resource allocation in a power network according to the present invention;
fig. 2 is a schematic flowchart of an embodiment of a power network optimized resource allocation system provided in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments and the accompanying drawings.
It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are used for distinguishing two entities with the same name but different names or different parameters, and it should be noted that "first" and "second" are merely for convenience of description and should not be construed as limitations of the embodiments of the present invention, and they are not described in any more detail in the following embodiments.
Fig. 1 is a schematic flowchart of an embodiment of a method for configuring optimized resources of a power network according to the present invention.
As shown in the figure, in an aspect of the embodiments of the present invention, there is provided a communication network optimized resource configuration method, including:
and S10, establishing an analysis model according to the historical data of the service flow of the power communication network, the historical data of the quality of the power communication network, the historical data of service characteristics and the historical data of the use behavior of the user, wherein the analysis model is used for evaluating the corresponding relation between the quality of the power communication network, the objective service type and the user experience.
And S11, acquiring real-time data of the service flow of the power communication network, and evaluating the real-time data by using the analysis model to obtain the real-time quality of the power communication network.
And S12, performing optimized resource allocation on the power communication network according to the real-time quality.
The analysis model is established by analyzing data generated in the operation process of the system such as the service flow historical data of the power communication network, the quality historical data of the power communication network, the service characteristic historical data, the user use behavior historical data and the like, and has the main function of obtaining a rule by analyzing a large amount of data, and analyzing and judging the association among the quality of the power communication network, the objective service type and the user experience so as to determine whether to optimize resource configuration for the quality of the power communication network, how to configure the power communication network and the like.
As can be seen from the above, the method for optimizing resource allocation in a power communication network according to the embodiment establishes a model to analyze the relationship between user experience, objective service and network quality according to network real-time traffic data and regional user behavior data, and analyzes service bearing and network health status in real time, so as to dynamically track user perception, optimize resource allocation in the network, and implement intellectualization.
In some optional embodiments, in step S12, performing optimized resource allocation on the power communication network according to the real-time quality specifically includes:
and S20, performing whole network optimization resource allocation and area-specific optimization resource allocation on the power communication network according to the real-time quality of the power communication network.
By analyzing the real-time quality of the power communication network, the defects of the power communication network at present can be judged, and according to specific problems, the power communication network can be determined to be subjected to whole network optimized resource allocation or regional targeted optimized resource allocation.
In some optional embodiments, in step 20, the performing, according to the real-time quality of the power communication network, a network-wide optimized resource configuration on the power communication network specifically includes:
s30, simulating network planning and optimizing resource allocation according to network load development trend by analyzing network load, obstacle reporting condition and resource utilization rate of a core network, an access network and a wireless network; or optimizing resource allocation based on alarm correlation analysis barrier types.
This embodiment further illustrates a specific method for optimizing resource allocation for the entire network. When analyzing the real-time quality of the power communication network, the whole network optimization direction can be divided into two types: load-based optimization and alarm-based optimization; optimizing based on load, simulating network planning according to network load development trend by analyzing network load, obstacle reporting condition and resource utilization rate of a core network, an access network and a wireless network, and optimizing resource allocation; and optimizing the resource configuration based on alarm correlation analysis barrier types. The former is mainly rationalized adjustment according to the network use state, the latter is error correction processing according to specific alarm correlation analysis, and the two can be used in combination to ensure the health degree of the whole network resource allocation.
In some optional embodiments, in step S20, the performing area-specific optimized resource configuration on the power communication network according to the real-time quality of the power communication network specifically includes:
s40, optimizing resource allocation at a specific time and a specific local area based on the user behavior analysis of the hot spot area; or optimizing the network load capacity of each protocol in each time period based on analyzing the influence of each network protocol on the network load.
This embodiment further illustrates a method for performing region-specific optimization of resource allocation. When analyzing the real-time quality of the power system communication network, the direction of area-specific optimization can be divided into two categories: optimizing resource allocation at a specific time and a specific local area based on user behavior analysis of the hot spot area; and optimizing the network load capacity of each protocol in each time period based on analyzing the influence of each network protocol on the network load. The former mainly analyzes according to user behavior, thereby optimizing resource allocation, ensuring sufficient system resources in the peak period of user use, reducing resource supply in the valley period of user use, and turning to other uses; the latter mainly analyzes the influence of the network protocol on the network load, and adjusts the different states of the network protocol in different time periods by counting the difference of the network load in each time period so as to improve the efficiency of network operation.
In some optional embodiments, in step S20, the performing, according to the real-time quality of the power communication network, a network-wide optimized resource configuration and a region-specific optimized resource configuration on the power communication network specifically includes:
s50, executing the whole network optimization resource configuration and the region-specific optimization resource configuration based on the decision tree ID3 algorithm.
The whole network optimization resource configuration and the area-specific optimization resource configuration are based on the decision tree ID3 algorithm. The ID3 algorithm originates from a learning system CLS, the CLS is a factor which is found to be most discriminative, data is divided into a plurality of subsets, the steps are repeated for each subset until all the subsets only contain the data of the same type, and then the obtained decision tree is used for classifying new samples; the ID3 algorithm introduces information gain as a measure of the discriminant.
Fig. 2 is a schematic flowchart of an embodiment of a power network optimized resource allocation system provided in the present invention. As shown in the drawing, in another aspect of the embodiments of the present invention, there is provided a communication network optimized resource configuration system, including:
the model establishing module 60 is configured to establish an analysis model according to the historical data of the service traffic of the power communication network, the historical data of the quality of the power communication network, the historical data of service characteristics, and the historical data of user usage behavior, where the analysis model is used to evaluate the corresponding relationship between the quality of the power communication network, the objective service type, and the user experience.
And the evaluation module 61 is configured to acquire real-time data of the service traffic of the power communication network, and evaluate the real-time data by using the analysis model to obtain the real-time quality of the power communication network.
And an optimal configuration module 62, configured to perform optimal resource configuration on the power communication network according to the real-time quality.
In some optional embodiments, the optimization configuration module 62 is configured to perform a network-wide optimization resource configuration and a region-specific optimization resource configuration on the power communication network according to the real-time quality of the power communication network.
In some optional embodiments, the optimization configuration module 62 is configured to optimize resource configuration by analyzing network loads of a core network, an access network, and a wireless network, obstacle reporting conditions, and resource utilization rates, and simulating a network plan according to a network load development trend; or for optimizing resource configuration based on alarm correlation analysis barrier types.
In some optional embodiments, the optimization configuration module 62 is configured to optimize the resource configuration at a specific time and in a specific locality based on the user behavior analysis of the hotspot region; or the method is used for optimizing the network load capacity of each protocol in each time period based on analyzing the influence of each network protocol on the network load.
In some optional embodiments, the optimization configuration module 62 is configured to perform the network-wide optimization resource configuration and the area-specific optimization resource configuration based on a decision tree ID3 algorithm.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the idea of the invention, also features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
In addition, well known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures for simplicity of illustration and discussion, and so as not to obscure the invention. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the invention, and also in view of the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the present invention is to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the invention, it should be apparent to one skilled in the art that the invention can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present invention has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
The embodiments of the invention are intended to embrace all such alternatives, modifications and variances that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements and the like that may be made without departing from the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. A method for optimizing resource allocation in a communication network, comprising:
establishing an analysis model according to the historical data of the service flow of the power communication network, the historical data of the quality of the power communication network, the historical data of service characteristics and the historical data of the use behavior of a user, wherein the analysis model is used for evaluating the corresponding relation among the quality of the power communication network, the objective service type and the user experience;
acquiring real-time data of service flow of the power communication network, and evaluating the real-time data by using the analysis model to obtain the real-time quality of the power communication network;
performing optimized resource allocation on the power communication network according to the real-time quality, including:
performing whole network optimization resource allocation and regional targeted optimization resource allocation on the power communication network according to the real-time quality of the power communication network;
the performing, according to the real-time quality of the power communication network, a whole-network optimized resource configuration and a region-specific optimized resource configuration on the power communication network specifically includes:
based on the user behavior analysis of the hot spot area, optimizing the resource allocation at a specific time and a specific local area, ensuring that the system resources are sufficient during the peak period of the user use, reducing the resource supply during the valley period of the user use, and turning to other uses;
or based on analyzing the influence of each network protocol on the network load, the different states of the network protocol in different time periods are adjusted by counting the difference of the network load in each time period, and the network load capacity of each protocol in each time period is optimized.
2. The method according to claim 1, wherein the performing the network-wide optimized resource allocation on the power communication network according to the real-time quality of the power communication network specifically comprises:
simulating network planning according to the network load development trend by analyzing the network load, the obstacle reporting condition and the resource utilization rate of a core network, an access network and a wireless network, and optimizing resource allocation; or optimizing resource allocation based on alarm correlation analysis barrier types.
3. The method according to claim 1, wherein the performing network-wide optimized resource allocation and area-specific optimized resource allocation on the power communication network according to the real-time quality of the power communication network specifically comprises:
and executing the whole network optimization resource configuration and the region-specific optimization resource configuration based on a decision tree ID3 algorithm.
4. A system for optimizing resource allocation in a communication network, comprising:
the model establishing module is used for establishing an analysis model according to the historical data of the service flow of the power communication network, the historical data of the quality of the power communication network, the historical data of service characteristics and the historical data of user use behaviors, and the analysis model is used for evaluating the corresponding relation among the quality of the power communication network, the objective service type and the user experience;
the evaluation module is used for acquiring real-time data of the service flow of the power communication network, and evaluating the real-time data by using the analysis model to obtain the real-time quality of the power communication network;
the optimization configuration module is used for performing optimization resource configuration on the power communication network according to the real-time quality, and comprises:
performing whole network optimization resource allocation and regional targeted optimization resource allocation on the power communication network according to the real-time quality of the power communication network;
the performing, according to the real-time quality of the power communication network, a whole-network optimized resource configuration and a region-specific optimized resource configuration on the power communication network specifically includes:
based on the user behavior analysis of the hot spot area, optimizing the resource allocation at a specific time and a specific local area, ensuring that the system resources are sufficient during the peak period of the user use, reducing the resource supply during the valley period of the user use, and turning to other uses;
or based on analyzing the influence of each network protocol on the network load, the different states of the network protocol in different time periods are adjusted by counting the difference of the network load in each time period, and the network load capacity of each protocol in each time period is optimized.
5. The system of claim 4, wherein the optimal configuration module is configured to optimize the resource configuration by analyzing network loads of the core network, the access network, and the wireless network, obstacle reporting conditions, and resource utilization rates, and simulating a network plan according to a network load development trend; or for optimizing resource configuration based on alarm correlation analysis barrier types.
6. The system of claim 4, wherein the optimization configuration module is configured to perform the network-wide optimization resource configuration and the area-specific optimization resource configuration based on a decision tree ID3 algorithm.
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| CN109274541A (en) * | 2018-11-19 | 2019-01-25 | 国家电网公司 | The method of adjustment and device of communication network |
| CN109472420A (en) * | 2018-11-19 | 2019-03-15 | 国家电网公司 | The optimization method and device of number resource |
| CN110035334B (en) * | 2019-02-22 | 2021-11-02 | 国网山东省电力公司济南供电公司 | Dynamic bandwidth resource optimization method for power communication network |
| CN112819397B (en) * | 2019-11-18 | 2023-06-13 | 顺丰科技有限公司 | Sorting resource allocation method, sorting resource allocation device, computer equipment and readable storage medium |
| CN112463868A (en) * | 2020-12-04 | 2021-03-09 | 车智互联（北京）科技有限公司 | Data processing method, data processing system and computing device |
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Effective date of registration: 20170904 Address after: 100070 Fengtai District, Feng Feng Road, the era of wealth on the 1st floor of the world's 28 floor, Beijing Applicant after: Beijing Guodiantong Network Technology Co., Ltd. Applicant after: Fibrlink Networks Co., Ltd. Applicant after: State Grid Corporation of China Applicant after: Guo Wang Information Communication Branch Company of Liaoning Electric Power Co., Ltd. Applicant after: STATE GRID INFORMATION & TELECOMMUNICATION GROUP CO., LTD. Applicant after: STATE GRID INNER MONGOLIA EASTERN POWER CO., LTD. Applicant after: CENTRAL UNIVERSITY OF FINANCE AND ECONOMICS Address before: 100070 Fengtai District, Feng Feng Road, the era of wealth on the 1st floor of the world's 28 floor, Beijing Applicant before: Beijing Guodiantong Network Technology Co., Ltd. Applicant before: Fibrlink Networks Co., Ltd. Applicant before: State Grid Corporation of China Applicant before: Guo Wang Information Communication Branch Company of Liaoning Electric Power Co., Ltd. Applicant before: STATE GRID INFORMATION & TELECOMMUNICATION GROUP CO., LTD. Applicant before: STATE GRID INNER MONGOLIA EASTERN POWER CO., LTD. |
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