Mixed scheduling system for steam pipe network based on pipe network calculation

Abstract

The invention relates to a mixed scheduling system for a steam pipe network based on pipe network calculation and belongs to the technical field of mixed scheduling for the steam pipe network. The mixed scheduling system comprises a relation database server, a real-time database server, an application server and an engineer station, wherein the relation database server is connected with the engineer station and the application server; except being connected with the relation database server, the application server is also connected with a real-time database and the engineer station; the data exchange among the application server, the real-time database and the engineer station is kept; an application module comprises a relational database, a data acquisition module, a data result display module, a pipe network model calculating module and a pipe network scheduling module; the data result display module is arranged at the engineer station; the pipe network model calculating module and the pipe network scheduling module are arranged on the application server; the relational database is arranged on the relation database server; and the data acquisition module is arranged at the real-time database. The mixed scheduling system has the advantages that the system is more suitable for the actual requirement of enterprise production, and pipe network model calculation and scheduling scheme are utilized to mutually verify on the basis of a scheduling model, so as to realize the accuracy and instantaneity of scheduling strategy.

Description

technical field [0001] The invention belongs to the technical field of steam pipeline network hybrid scheduling, in particular provides a steam pipeline network hybrid scheduling system based on pipeline network model calculation, thereby realizing optimized and efficient pipeline network scheduling. Background technique [0002] In iron and steel enterprises, the steam system is a complex object with the characteristics of large time lag, large inertia, nonlinearity, multivariable coupling, variable parameters, etc., which is specifically manifested in multi-dispersed users, multi-steam sources, and multi-pressure levels (high, medium, and Low pressure), multi-working conditions (seasons, production plans), in the face of complex operating conditions, most of the managers still adopt the "responsive" scheduling management method, relying on the experience accumulated in production over the years to command the operation of the system, and emptying often occurs , Degraded us...

AI Technical Summary

Problems solved by technology

An obvious problem with rule-based scheduling is that this method cannot guarantee the optimality of the solution, and usually only provides a certain degree of suboptimal feasible solution, lacking an effective grasp of the overall performance

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