Energy-saving optimization control method for pump house

By combining variable frequency speed regulation and intelligent valve linkage with a BP neural network prediction model, the layout of the pump house pipeline network and scale detection are optimized, solving the problems of high energy consumption and low efficiency in the steelmaking cooling water system, and realizing dynamic optimization of energy consumption and simplification of equipment maintenance in the steelmaking water pump house.

CN122172647APending Publication Date: 2026-06-09HUATIAN NANJING ENG & TECH CORP MCC +3
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUATIAN NANJING ENG & TECH CORP MCC
Filing Date
2026-01-27
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

The cooling water system in the steelmaking process is energy-intensive, inefficient, and difficult to maintain. Existing technologies lack real-time control and pipeline resistance optimization, resulting in energy waste and equipment wear.

Method used

By combining variable frequency speed control technology with intelligent valve linkage, and using a BP neural network prediction model to predict cooling water demand, the layout of the pump room pipeline network is optimized. Combined with infrared thermal imaging to detect scaling, dynamic energy consumption management is achieved.

Benefits of technology

This reduced pump energy consumption, improved equipment efficiency, reduced maintenance difficulty, and achieved dynamic optimization of energy consumption in the steelmaking pump room.

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Abstract

The application discloses a pump house energy-saving optimization control method. The pump house is provided with more than one pump controlled through a frequency converter; the method comprises the following steps: collecting historical data and performing pretreatment; constructing a prediction model by using the pretreated historical data; predicting the cooling water demand in a future predetermined time by using the prediction model; and dynamically adjusting the parameters of the frequency converters of the pumps in the pump house by using the predicted cooling water demand. The application realizes dynamic optimization of the energy consumption of the steelmaking water pump house by combining the frequency conversion speed regulation and dynamic load matching technology, the pipe network resistance optimization and the intelligent valve linkage control.
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