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Air compressor group load prediction method and control equipment thereof

An air compressor, load forecasting technology, applied in forecasting, climate sustainability, sustainable manufacturing/processing, etc., to reduce energy consumption, reduce production costs, and improve estimation accuracy

Pending Publication Date: 2019-11-12
上海宝能信息科技有限公司 +1
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Therefore, there is still a lack of an effective method that can systematically solve the above problems

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  • Air compressor group load prediction method and control equipment thereof
  • Air compressor group load prediction method and control equipment thereof
  • Air compressor group load prediction method and control equipment thereof

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[0042] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0043] In order for those skilled in the art to better understand the solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the present invention. Obviously, the described embodiment is only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall belong to the protection scope of the present invention.

[0044] It should be noted that the terms "first", "second...

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Abstract

The invention provides an air compressor group load prediction method and control equipment thereof. Prediction is carried out based on a fuzzy inference machine of a Mamdani model, and the method mainly comprises the following steps: step A, constructing a time sequence model based on a phase space reconstruction method, and inputting the time sequence model into the fuzzy inference machine; stepB, initializing a fuzzy rule based on a fuzzy C-mean clustering algorithm, and adjusting membership parameters of the fuzzy rule based on a maximum density method to construct a fuzzy rule base; stepC, the fuzzy inference machine in the step A, based on the fuzzy rules in the fuzzy rule base in the step B, calculating output prediction results. The invention provides an air compressor group loadprediction method. According to the method, the compromise of the coverage degree and the specificity of the fuzzy rule membership function in the Mamdani fuzzy system can be realized, so that the estimation accuracy of the load amplitude of the air compressor is improved. The energy consumption of an air compressor group can be effectively reduced, and the production cost of an enterprise is reduced.

Description

technical field [0001] The invention relates to the field of air compressor group load forecasting, in particular to air compressor group load forecasting and control equipment technology based on Mamdani model. Background technique [0002] Compressed air is one of the main power sources for metallurgical enterprises. According to statistics, the compressed air production process accounts for about 10% to 15% of the total energy consumption of metallurgical enterprises. With the shortage of primary energy such as coal and oil, the optimal scheduling of compressor groups has increasingly become the focus of enterprises and researchers. In order to realize the optimal scheduling of the air compressor group, production dispatchers need to grasp the changing trend of the air compressor group load in time. Therefore, accurate air compressor group load flow forecasting can assist production personnel to formulate safe, economical and efficient production scheduling plans, and p...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/04Y02P80/10
Inventor 万成赵珺刘洋茅心怡
Owner 上海宝能信息科技有限公司
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