Pipe network scheduling system based on improved decision tree method

Abstract

The invention provides a pipe network scheduling system based on an improved decision tree method and belongs to the field of pipe network scheduling technology. Hardware comprises a relational database server, a real-time database server, an application server and an engineer station, wherein the relational database server is connected with the engineer station and the application server, the application server is connected with the relational database server, a real-time database and the engineer station, and the application server, the real-time database and the engineer station perform data exchange. An application module comprises a relational database, a data collection module, a scheduling rule result display module and a decision tree rule base generation module, wherein the scheduling rule result display module is deployed at the engineer station, the decision tree rule base module is deployed at the application server, the relational database is deployed at the relational database server, and the data collection module is deployed at the real-time database. The system has the advantages that the steam pipe network scheduling rule system is established scientifically and reasonably, pipe network fluctuations are reduced, and efficient and safe operation of a pipe network is ensured.

Description

technical field [0001] The invention belongs to the technical field of pipeline network scheduling, and in particular provides a pipeline network scheduling system based on an improved decision tree method, which realizes the programmed, rapid and scientific scheduling rules of the steam pipeline network. Background technique [0002] In large integrated iron and steel enterprises, the steam system is a complex object with characteristics such as large time lag, large inertia, variable parameters, nonlinearity, and multivariable coupling. Faced with such complex operating conditions, managers basically rely on years of production The experience accumulated in the operation command system operation, it is difficult to avoid the occurrence of emptying, degraded use, etc., resulting in great waste. This will inevitably lead to the blindness of scheduling and the inefficiency of pipe network operation. At the same time, due to production volume, seasonal changes and other reaso...

AI Technical Summary

Problems solved by technology

[0002] In large integrated iron and steel enterprises, the steam system is a complex object with characteristics such as large time lag, large inertia, variable parameters, nonlinearity, and multivariable coupling. Faced with such complex operating conditions, managers basically rely on years of production The experience accumulated in the operation command system operation, it is difficult to avoid the occurrence of emptying, degraded use, etc., resulting in great waste

This will inevitably lead to blindness in scheduling and inefficiency in pipe network operation

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