Air compressor cluster system energy consumption optimization method and device based on big data analysis

Abstract

The invention provides an air compressor cluster system energy consumption optimization method and device based on big data analysis and relates to the technical field of air compressor cluster systems. The method comprises steps of according to time sequence trend characteristics, periodical rules and production scheduling information, predicting flow requirements in the future periods; calculating power responding curves of a volume adjusting machine, further predicting pressure change of an air supplying head pipeline and each pipeline branch, and generating nitrogen utilization quantity prediction data; according power data of the air compressor and the nitrogen utilization quantity prediction data, by combining real-time electricity price and nitrogen unit volume price, calculating cost data of an air compressor cluster system in a certain period; and according to the flow requirement prediction curves and cost data corresponding multiple kinds of use ways of assemblies of the aircompressor, by combining current states of the air compressor cluster and limitations of starting and stopping adjustment frequency, generating a cluster control method. According to the invention, working modes of the air compressor cluster system is effectively optimized and economical benefit is improved.

Description

technical field [0001] The invention relates to the technical field of air compressor cluster systems, in particular to a method and device for optimizing energy consumption of an air compressor cluster system based on big data analysis. Background technique [0002] The air compressor cluster system (air compressor cluster system) is the core system to maintain constant pressure, ventilation and cleanliness in the production environment, especially in electronic manufacturing, semiconductor manufacturing, biomedicine, chemical and other manufacturing systems that require clean rooms. . On the one hand, the air compressor cluster system must maintain a stable pressure difference between indoor and outdoor, prevent outdoor large-particle molecular pollutants from entering the production environment, and also provide many key processes and equipment that require a constant pressure environment for production use. The air compressor cluster system usually consists of multiple ...

AI Technical Summary

Problems solved by technology

However, the use of nitrogen to compensate for the drop in pressure incurs additional costs and should therefore be avoided as much as possible

[0003] The compressor cluster system is usually a large power consumer in the factory, and its control method still has great defects in maintaining the optimal economy. For example: 1. Although multiple air compressors are connected in parallel to maintain the pipeline Pressure and flow requirements, but in most cases the control of each air compressor is independent of each other and will not cooperate with each other

2. Even if the air compressor cluster installed with the group control system can realize the synergy of control, the control method is still based on the real-time change of pipeline pressure to respond in a stressful manner, and predictive optimization cannot be achieved.

Manual adjustment needs to rely on expert experience, and it is difficult to respond accurately and quickly

When the total rated flow of the air compressor is greater than the demand of the pipeline, it will cause the capacity regulator to run at a low load all the time, resulting in waste of energy consumption

And when the total rated flow rate of the air compressor is lower than the pipeline demand, it will cause a large amount of nitrogen consumption, resulting in more additional costs

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