Cluster optimization control system for air compressor

Abstract

The invention discloses a cluster optimization control system for an air compressor and belongs to the field of air-operated system energy saving. The cluster optimization control system comprises a data acquisition module, an air compressor energy consumption model, a pipeline network analysis and prediction module, an equipment operation analysis module, an optimization control module, four server-side modules and a client-side module; the data acquisition module is deployed on a data acquisition server; the four server-side modules are deployed on an application server; the client-side module is deployed on a client; the data acquisition server and the application server are connected through the Ethernet; the application server and the client are connected through the Ethernet; data information exchange is performed between the data acquisition module and the server-side module through inter-process message call; the data information exchange is performed between the data acquisition module and the server-side module through network message call; the client-side module is connected with the server-side module through a network message. The cluster optimization control system has the advantages that the cluster energy consumption of the air compressor is minimum under the condition that the demands of compressed air users change, and on the premise that the normal running of the air compressor equipment is ensured, the equipment efficiency is increased, the service life of the equipment is prolonged, energy consumption can be reduced to a certain degree, and the production running cost is reduced.

Description

technical field [0001] The invention belongs to the field of energy saving of pneumatic systems, and in particular provides an air compressor cluster optimization control system, which performs online analysis on air compressor equipment and provides a cluster optimization control method. Background technique [0002] In modern large-scale industrial enterprises, compressed air is the second largest power source next to electricity. With the increasing shortage of energy, the enterprise has established a centralized air compressor station or system transformation to realize the centralized monitoring of the air compressors in the whole plant. To a certain extent, the stability of the compressed air pipe network has been improved, but the loss rate of the pipe network is still It is very high, and the unit consumption still has room to decrease. [0003] In the main control room of the centralized air compressor station or the energy operation center of the enterprise, its o...

AI Technical Summary

Problems solved by technology

The disadvantage of this patent is that the optimized control method does not consider the influence of factors such as compressed air pipe network and air compressor equipment maintenance.

[0005] Most patents on the optimal control of air compressor groups focus on the centralized monitoring of air compressor groups, lacking in-depth mining of real-time monitoring data, and cluster control schemes rarely consider the impact of compressed air pipe network balance

[0006] Existing air compressor cluster control systems, such as those used in large industrial enterprises with many compressed air users, have the following deficiencies: First, there is a lack of monitoring and loss analysis of the pressure and flow of the entire compressed air pipeline network, and a lack of production planning information , poor ability to respond to demand changes; second, lack of energy efficiency analysis of air compressor equipment operation, lack of maintenance plan information, poor implementability of cluster optimization control scheme; third, lack of air compressor operation model, cluster optimization control model, Its control scheme is difficult to ensure that all constraints are satisfied and optimal

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