Queuing theory-based data transmission bandwidth prediction method in intelligent power distribution and consumption business

A technology for intelligent power distribution and business data, applied in digital transmission systems, forecasting, and transmission systems, etc., and can solve problems such as large deviations between bandwidth forecast values ​​and actual demand values.

Active Publication Date: 2014-03-12
STATE GRID CORP OF CHINA +3
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Problems solved by technology

[0003] The present invention provides a method for predicting the bandwidth of intellige...

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  • Queuing theory-based data transmission bandwidth prediction method in intelligent power distribution and consumption business
  • Queuing theory-based data transmission bandwidth prediction method in intelligent power distribution and consumption business
  • Queuing theory-based data transmission bandwidth prediction method in intelligent power distribution and consumption business

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[0027] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0028] A queuing theory-based data transmission bandwidth prediction method for intelligent power distribution services, such as figure 1 shown, including the following steps:

[0029] Step 1: Obtain the quality of service QoS requirement parameters of the intelligent power distribution business data;

[0030] Perform statistics on the intelligent power distribution service data collected by the wave recording device to obtain QoS requirement parameters, the QoS requirement parameters include QoS arrival rate λ, QoS packet loss rate P L and QoS delay W s ;

[0031] Step 2: transform the QoS requirement parameter obtained in step 1 into a queuing theory model parameter;

[0032] like figure 2 As shown, the commun...

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Abstract

The invention discloses a queuing theory-based data transmission bandwidth prediction method in the intelligent power distribution and consumption business, aiming at the problem that a great deviation exists between a predicted value of a bandwidth and an actual demand value easily caused by the traditional bandwidth prediction method. The method comprises the following steps of firstly acquiring intelligent power distribution and consumption business QoS (quality of service) requirement parameters from an application layer as basic data for bandwidth prediction, and converting the QoS parameters of an upper layer into queuing theory model parameters through the queuing theory; secondly determining a queuing theory-based transmission bandwidth prediction model according to the QoS constraint condition of the electric power telecommunication business, and meanwhile converting the prediction model into a linear constraint nonlinear programming solving model to obtain the optimal solution; finally obtaining a smallest predicted transmission bandwidth capable of ensuring the QoS requirement of the system business. According to the method, the predicted band width is obtained by modeling and solving through intelligent power distribution and consumption business QoS parameter mapping and the queuing theory, so that the bandwidth prediction deviation is reduced, and the system bandwidth utilization rate is optimized.

Description

technical field [0001] The invention belongs to the technical field of intelligent power distribution and utilization communication, and in particular relates to a method for predicting the data transmission bandwidth of intelligent power distribution and utilization business based on queuing theory. Background technique [0002] With the rapid development of smart grid and the continuous emergence of new communication services, computer networks have been widely used in power systems, and the fast, efficient and reliable information transmission methods of power communication have become the basis of power system production and management. When the power system designs its communication network, it must first determine the various application services it needs and its quality of service (QoS: Quality of Service) requirements, and then predict the necessary transmission bandwidth of the communication system. Therefore, the prediction of power communication service transmissi...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06H04L12/927H04L47/80
Inventor 徐志强陈剑谢欣涛侯益灵陈仲伟孙毅陆俊
Owner STATE GRID CORP OF CHINA
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