Knowledge representation-based steel production scheduling model matching method

Abstract

The invention provides a knowledge representation-based steel production scheduling model matching method which specifically comprises the following steps: 1) a production plan is input, and the production plan comprises a production order and a hot delivery and hot charging production plan given by a hot rolling workshop; 2) a slab quantity is calculated; the order is decomposed based on steel types, slab specifications and delivery dates; 3) a casting order is arranged, and all castings are ordered according to difference between continuous caster usage conditions and order delivery dates; 4) characteristic signals are collected, and characteristic signals of a key position of a bottom layer device can be obtained via a corresponding sensor; 5) a crown block optimization algorithm is performed; 6) a transport task state is switched; 7) a plan is rearranged; 8) the adjusted plan is displayed to a scheduling worker in a form of a Gantt chart. Via the matching method, production safety of steel making processes can be ensured, production and operation costs can be lowered, energy can be saved, enterprise management can be enhanced, production efficiency can be improved, and enterprise profit maximization can be facilitated.

Description

Technical field [0001] The invention belongs to the technical field of steel smelting intelligent control and scheduling, and specifically relates to a method for matching a steel production scheduling model based on knowledge representation. Background technique [0002] During the steelmaking process, materials flow between processes. The upstream and downstream processes of the same operating span are transported by cranes to achieve convergence; while for processes in different spans, trolley transport is used to achieve convergence; the transported materials include scrap steel, Hot metal, molten steel, auxiliary materials and containers, etc. The smooth transportation of materials from the molten iron entering the steelmaking workshop to the injection of molten steel into the continuous casting machine is the cornerstone of ensuring the normal operation of the steelmaking process. Reasonable operation plan and plan rearrangement in unexpected situations are important guara...

AI Technical Summary

Problems solved by technology

Reasonable operation planning and plan rearrangement under unexpected circumstances are important guarantees for the precise connection and orderly operation of each process in the steelmaking process, and are of great importance to balanced production, energy saving and consumption reduction, production and operation cost savings, and improvement of production efficiency and corporate competitiveness. Significance, at present, the production management technology and means of most steelmaking production processes in my country are still backward, and the level of informatization lags behind the related industries in developed economies. method

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