Big data statistical analysis based transformer substation factory boundary noise prediction and evaluation method

A technology of plant boundary noise and statistical analysis, applied in forecasting, data processing application, calculation, etc., to achieve the effect of reasonable construction layout and low cost

Active Publication Date: 2017-09-19
ELECTRIC POWER RES INST OF EAST INNER MONGOLIA ELECTRIC POWER +1
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Problems solved by technology

[0006] Aiming at the problem of substation noise, the present invention proposes a method for predicting and evaluating the noise at the boundary of the substation based on a statistical analysis method based on big data, so as to realize the prediction and evaluation of the noise at the boundary of the newly built substation

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  • Big data statistical analysis based transformer substation factory boundary noise prediction and evaluation method
  • Big data statistical analysis based transformer substation factory boundary noise prediction and evaluation method
  • Big data statistical analysis based transformer substation factory boundary noise prediction and evaluation method

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Embodiment Construction

[0026] see figure 1 , the system of the present invention includes two parts: a data statistics system and an evaluation system.

[0027] Through the analysis of a large number of substation measured data, the data statistics system adopts the correlation modeling analysis method to the data, and accurately analyzes the main factor sources of substation noise, including the main transformer factor, reactor factor and capacitor factor in the substation.

[0028] As a data processing system for substation equipment, the evaluation system adopts the combination of index system construction and noise evaluation model construction, and uses the weight analysis method to assign weights to the core influencing factors of substation boundary noise.

[0029] The method for predicting and evaluating substation boundary noise based on big data statistical analysis provided by the present invention includes the following steps:

[0030] S1: Collect basic information and equipment informa...

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Abstract

The invention discloses a big data statistical analysis based transformer substation factory boundary noise prediction and evaluation method, which is characterized in that information acquisition is performed on main equipment of a transformer substation, and core influencing factors influencing transformer substation factory boundary noise are acquired by using big data statistical analysis; data of a newly built/to-be-tested transformer substation is sent to an evaluation system to analyze through building a noise evaluation model in the evaluation system, and prediction and evaluation for the transformer substation factory boundary noise are realized by adopting a fuzzy evaluation method. The transformer substation factory boundary noise prediction and evaluation method provides reference proposals for transformer substation construction or renovation.

Description

technical field [0001] The invention belongs to the field of substation noise evaluation, and specifically relates to a method for evaluating and predicting noise at the boundary of a substation. Through the statistics and modeling evaluation of substation equipment information, the evaluation and prediction of substation noise is realized. Background technique [0002] Noise pollution, together with water, air, and solid waste pollution, is called the "four major pollutions". Noise pollution not only affects people's life and work, but also threatens human physical and mental health. my country has formulated corresponding standards and regulations for noise pollution , the purpose is to strictly control the impact of noise pollution on people's lives. [0003] As a transfer station of electric power, the substation is a very important place in the power system. With the acceleration of urbanization in our country and the improvement of people's living standards, the deman...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 钱文晓左秀江杨帆刘海波黄鑫王方胜陈远东李天野
Owner ELECTRIC POWER RES INST OF EAST INNER MONGOLIA ELECTRIC POWER
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