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
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[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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