Optimization method for air compressor system of iron and steel plant

Abstract

The invention discloses an optimization method for an air compressor system of an iron and steel plant. The optimization method comprises the following steps of: building compressed air pressure and flow demand models of each user; reading real-time data of compressed air of each user, optimizing the compressed air pressure and flow demand models of each user according to the real-time data of thecompressed air of each user, and giving a pressure set value of a compressed air pipe network; setting the running state of an air compressor of each air compressor station of the air compressor system according to the pressure set value of the compressed air pipe network; judging whether the air compressor system is in an optimal state or not, and maintaining the air compressor system to run inthe optimal state if the air compressor system is in the optimal state; otherwise, re-giving a pressure set value of the compressed air pipe network until the air compressor system is judged to be inthe optimal state, and maintaining the air compressor system to run in the optimal state. The optimization method disclosed by the invention adopts cluster optimization, can realize scientific start,stop, loading and unloading operations of the air compressor, realizes precise control on the pressure of the compressed air pipe network, reduces the pressure level of the compressed air pipe networkand reduces energy loss.

Description

technical field [0001] This application relates to the technical field of air compressor systems in the metallurgical industry, in particular to an optimization method for air compressor systems in iron and steel plants. Background technique [0002] The air compressor stations of the air compressor system in the iron and steel plant are scattered geographically and are connected together through a pipe network to provide compressed air for the entire plant. Due to different production processes, each user needs a different compressed air pressure level, and the user's irregular maintenance and production line adjustment will cause changes in the user's compressed air pressure and flow requirements. However, the operators of the air compressor station cannot grasp the real-time process status of each user, so they can only keep the main network at a higher pressure level to meet the production needs of all users, resulting in a large waste of energy. Contents of the invent...

AI Technical Summary

Problems solved by technology

Due to different production processes, each user needs a different compressed air pressure level, and the user's irregular maintenance and production line adjustment will cause changes in the user's compressed air pressure and flow requirements.

However, the operators of the air compressor station cannot grasp the real-time process status of each user, so they can only keep the main network at a higher pressure level to meet the production needs of all users, resulting in a large waste of energy

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