CN-122022380-A - Multi-base multi-production-line multi-working-procedure global schedule optimization method and system for steel production

CN122022380ACN 122022380 ACN122022380 ACN 122022380ACN-122022380-A

Abstract

The invention relates to a multi-base multi-production-line multi-working-procedure global schedule optimization method and system for steel production, which comprise the steps of receiving and standardizing order demand data, executing multi-base order layering processing and distribution, outputting a base-level order set, deducting and marking net production demand of the base-level order, executing multi-production-line order distribution in a single base to generate a production-line-level order set, carrying out cross-procedure co-batch on the production-line-level order set based on steelmaking-continuous casting-rolling-post-processing procedure constraint to generate a cross-procedure batch plan, constructing a global evaluation model, comprehensively evaluating intermediate results, generating parameter correction instructions based on the evaluation results, adjusting parameters, constraint or distribution strategies of subsequent modules, finally generating a production schedule scheme consistent with a cross-base, a cross-production line and a cross-procedure, and triggering rolling optimization update when disturbance occurs. The invention realizes unified coordination and global optimization of multi-module planning results.

Inventors

LI YANJIAO
WANG BORAN
ZHANG FEI

Assignees

北京科技大学

Dates

Publication Date: 20260512
Application Date: 20260317

Claims (10)

1. A multi-base multi-production-line multi-working-procedure global schedule optimization method for steel production is characterized by comprising the following steps: s1, receiving sales order data, performing order normalization processing to obtain an order set, and merging or splitting the order set to form an order set to be distributed; S2, carrying out hierarchical clustering and base matching decision on the to-be-allocated order set to obtain a base-level order set and base attribution; s3, matching the base-level order set with the stock remainder set in specification, material and/or size to generate remainder serving as a scheme, deducting and marking the net production demand of the base-level order set according to the scheme, and obtaining the base-level order set with adjusted remainder; s4, carrying out multidimensional feature analysis and dynamic clustering on the base-level order set after the residual material adjustment aiming at the interior of each base, and configuring an order cluster formed by a clustering result to a specific production line to obtain a production line-level order set; S5, based on process constraint and economic batch requirements of steelmaking, continuous casting, rolling and post-treatment, performing cross-process combined batch grouping on the production line order set to generate a batch structure of a furnace batch, a casting time, a rolling batch or a post-treatment batch and a connection relation thereof, so as to obtain a cross-process batch plan; s6, setting a global coordination optimization model, calculating global evaluation indexes for the data transmission process between the steps S2 and S5, and outputting parameter correction instructions so as to adjust parameters or constraints of the previous or next step; S7, generating a production plan scheme which faces to a plan period and can be optimized and updated based on the cross-procedure batch plan and the parameter or constraint set after global coordination and optimization.
2. The method of claim 1, wherein the order set comprises steel types, specifications, delivery periods, quantity and special process requirements, and the order set is combined or split specifically, the order combination comprises clustering and combining orders with the same steel types or compatible orders with similar specifications and delivery periods within a preset time window to form candidate production batches; The order splitting comprises the step of splitting an order with the span exceeding a threshold value for an oversized batch order or a traffic period into a plurality of sub orders according to a base process boundary, a capacity limit or a traffic period section so as to respectively enter a base allocation decision.
3. The method of claim 1, wherein the hierarchical clustering and base matching decision is based on capacity structure, process adaptation range, transportation and manufacturing costs, base inventory and production status of each base, and wherein the distribution result structure data comprising order-base-projected cost-base load impact is obtained by integrating base manufacturing cost differences, base transportation costs, inventory holding costs, order and base process matching, base critical process load level and load balancing constraints at decision time.
4. The method according to claim 1, wherein the matching specifically comprises calculating an alternative ratio of the remainder to the order, generating the remainder to serve as the order, labeling the result identifier for the served order, and transmitting the labeling result identifier to step S4 along with the order data.
5. The method of claim 1, wherein S4 comprises constructing order feature vectors for product types, specification parameters, material requirements, intersection constraints and special process requirements of orders, dynamically clustering the order feature vectors to form candidate order clusters on the premise of meeting line process adaptation range constraints, configuring the candidate order clusters to target lines according to line processing capacity, current load levels and energy consumption characteristics, and outputting line-level order sets.
6. The method according to claim 1, wherein the step S5 specifically comprises the steps of organizing a furnace batch according to steel types and furnace capacity in a steelmaking stage, connecting the furnace batch in series according to a casting sequence in a continuous casting stage, organizing a rolling batch according to blank specifications and rolling mill roll change constraints in a rolling stage, organizing a post-processing batch according to customer specifications and residual material utilization strategies in a post-processing stage, and generating cross-process connection constraint data representing a matching relation between the number of processes and the sequence.
7. The method of claim 1, wherein S6 comprises calculating a global evaluation index set including at least a date achievement rate, a capacity utilization rate, a facility utilization rate, a capacity balance, an energy consumption level, and an inventory level, and generating a parameter correction instruction according to the index set, wherein the parameter correction instruction is used for adjusting a clustering threshold, a weight coefficient, a constraint enabling, a disabling state, or an allocation priority, so that a subsequent module output satisfies global constraint consistency.
8. The method according to claim 1, wherein the production plan generation comprises calculating the load utilization rate of each process of each base based on a cross-process batch plan, identifying the bottleneck process or the critical equipment overload risk, taking the capacity balance constraint and the equipment utilization rate constraint as constraint conditions or optimization targets of global optimization, and transmitting the constraint and adjusting the rhythm process by process in a cross-process layered plan coordination mode so as to enable the steelmaking rhythm and the continuous casting times, the continuous casting billet supply and rolling start sequence and the post-processing capability to meet the executable space-time matching relation.
9. The method of claim 1, wherein the optimizing update comprises dynamically updating the global constraint set and triggering a re-solution when the constraint condition changes due to an order insertion, equipment failure, maintenance plan change or residual inventory update in a planning period, wherein the solution adopts a mathematical planning, intelligent optimization or a mixed mode thereof, and outputs an updated production plan scheme by adopting weighted summation, hierarchical optimization or Pareto strategy in the case of multi-objective conflict.
10. A multi-base multi-production line multi-project global schedule optimization system for steel production, characterized in that the system is used for implementing the method of any one of claims 1-9, comprising: The order and demand management module is used for receiving sales order data and carrying out order normalization processing to obtain an order set, and combining or splitting the order set to form an order set to be distributed; the multi-base order layering processing and distributing module is used for carrying out layering clustering and base matching decision on the order set to be distributed to obtain a base-level order set and base attribution thereof; The in-stock remainder matching module is used for matching the base-level order set with the stock remainder set in specification, material and/or size to generate remainder serving as a scheme, and deducting and marking the net production demand of the base-level order set according to the scheme to obtain the base-level order set with adjusted remainder; The multi-production line order distribution module is used for carrying out multidimensional feature analysis and dynamic clustering on the base-level order set after the residual material adjustment aiming at the interior of each base, and configuring an order cluster formed by a clustering result to a specific production line to obtain a production line-level order set; The multi-process cooperation batch forming module is used for performing cross-process joint batch forming on the production line order set based on process constraint and economic batch requirement of steelmaking, continuous casting, rolling and post-processing to generate a batch structure of furnace batches, casting batches, rolling batches or post-processing batches and a connection relation thereof, so as to obtain a cross-process batch plan; The global coordination optimization module is used for calculating global evaluation indexes and outputting parameter correction instructions for data transmission processes among the multi-base order layering processing and distribution module, the library remainder matching module, the multi-production line order distribution module and the multi-working cooperation batch module so as to adjust parameters or constraints of the previous or next step; And the plan generation and rolling optimization module is used for generating a production plan which can be optimized and updated for a plan period based on the cross-procedure batch plan and the parameter or constraint set after global coordination optimization.

Description

Multi-base multi-production-line multi-working-procedure global schedule optimization method and system for steel production Technical Field The invention belongs to the technical field of steel production planning and optimization control, and particularly relates to a multi-base multi-production-line multi-working-procedure global planning optimization method and system for steel production. Background The steel production belongs to a typical flow industry, the production process spans multiple strong coupling procedures such as steelmaking, continuous casting, rolling and post-treatment, and meanwhile, under the background of clustered production, enterprises often have multiple production bases and multiple production lines at the same time. Along with the change of market demands from large batch, single variety to small batch, multiple variety and scattered period, the complexity of the production organization of the iron and steel enterprises is obviously improved. In actual production management, steel enterprises generally adopt a modularized production plan organization mode to cope with production complexity under multi-base, multi-production line and multi-process conditions. The production planning system generally divides functions of order processing, multi-base order distribution, in-stock excess material utilization, multi-production line order configuration, multi-working-line batch grouping and the like into a plurality of relatively independent service modules and operates in sequence or in parallel according to a set service flow. Through the modularized mode, enterprises can manage and optimize local links such as order organization, stock digestion, production line load distribution, process connection and the like, for example, single production batches are promoted through order grouping, newly-increased production requirements are reduced through the action of surplus materials, and the load pressure of a single production line is relieved through production line distribution, so that production organization efficiency is improved to a certain extent. However, the current technology still has the following disadvantages: At present, when an iron and steel enterprise makes a production plan, the problem of single-module cutting exists, and a unified coordination mechanism is lacking. Each functional module usually runs sequentially or independently according to a fixed business process, the optimization target and constraint conditions are limited to the modules, the executability and global influence of the downstream modules are difficult to perceive, and the problem of 'local optimum and global unbalance' is easily caused. The prior art lacks global optimization of the inter-module data transfer process. The existing scheme is used for evaluating or simply correcting the result after the modules are completed, and a unified global evaluation and feedback mechanism is not introduced in the data transmission process among the modules, so that the follow-up modules can only be passively accepted once the preamble decision is determined, and dynamic adjustment is difficult. Under a multi-base scene, the problems of unbalanced capacity, unsmooth process connection, reduced equipment utilization rate and the like among bases are easy to occur if a unified global coordination strategy is lacking in high coupling among order distribution, excess material utilization, production line load and inter-process rhythm. Therefore, on the basis of maintaining the existing modularized production planning system, a global coordination optimization mechanism penetrating through the module serial process is introduced to realize the overall optimization of multi-base, multi-production line and multi-production plan, so that the technical problem to be solved in the field of steel production planning is urgent. Disclosure of Invention In order to overcome the problems in the prior art, the invention provides a multi-base multi-production line multi-working procedure global schedule optimization method and system for steel production, which are suitable for steel enterprises to carry out collaborative production organization and global schedule decision on small-batch multi-variety orders under multi-base, multi-production line and multi-working procedure conditions. A multi-base multi-production line multi-working-station global schedule optimization method for steel production, the method comprising: s1, receiving sales order data, performing order normalization processing to obtain an order set, and merging or splitting the order set to form an order set to be distributed; S2, carrying out hierarchical clustering and base matching decision on the to-be-allocated order set to obtain a base-level order set and base attribution; s3, matching the base-level order set with the stock remainder set in specification, material and/or size to generate remainder serving as a scheme, deducting and marking the