Steelmaking production plan intelligent scheduling method based on big data rule self-learning

A technology of rules and plans, applied in the direction of data processing applications, computing, energy industry, etc., can solve problems such as the failure to execute plans smoothly, and achieve the effects of reducing energy consumption, saving production costs, and compact operation

Pending Publication Date: 2020-09-04
HUNAN NORMAL UNIVERSITY
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem that the original plan cannot be executed smoothly due to disturbances in the steelmaking-continuous casting production process, the purpose of the present invention is to provide a method that can reduce the burd

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Steelmaking production plan intelligent scheduling method based on big data rule self-learning
  • Steelmaking production plan intelligent scheduling method based on big data rule self-learning
  • Steelmaking production plan intelligent scheduling method based on big data rule self-learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] figure 1 It is a frame diagram of the scheme of the present invention, and the technical scheme of the present invention mainly includes five contents: 1) production planning; 2) static operation planning arrangement; 3) execution equipment arrangement; 4) dynamic rearrangement of plan interference; 5) Gantt chart display. The specific implementation manner of the present invention will be further described below in conjunction with the accompanying drawings.

[0030] 1) Obtain production information, the production information includes production order information and slab rolling plan; the production order information includes slab specification requirements such as order number, length, height, thickness, density and weight, and the planned production steel Type and steel grade; planned start time and planned delivery time; the slab rolling plan is generated according to the hot delivery and hot charging production plan given by the hot rolling workshop.

[0031] 2)...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a steelmaking production plan intelligent scheduling method based on big data rule self-learning, and the method mainly comprises the following steps: 1), forming a schedulingdecision table according to historical scheduling records, alignment time, scenes and scheduling operation; 2) rule mining: generating a rule base from historical records by adopting rule mining algorithms such as a rough set and deep learning; 3) plan arrangement: based on a continuous casting machine plan of actual data, based on a bottom layer equipment scheduling plan of container tracking technology, a production operation plan based on a time parallel back calculation method; 4) disturbance rearrangement: realizing intelligent rearrangement based on a rule description mode of'disturbance+ scene description + adjustment strategy 'and an expert rule base; and 5) plan display: displaying the operation plan through a Gantt chart, and providing dynamic interface adjustment. By means of the method, efficient and orderly operation of the steelmaking-continuous casting production process is ensured, the production and operation cost is reduced, energy is saved, consumption is reduced, the production efficiency is improved, and maximization of enterprise benefits is achieved.

Description

technical field [0001] The invention belongs to the technical field of intelligent scheduling of steelmaking production process, and specifically relates to a method for rearranging steelmaking production operation plans under disturbance based on self-learning of big data rules. Background technique [0002] During the production process of steelmaking, molten iron, molten steel and steel scrap are circulated between various processes through containers. From the molten iron entering the steelmaking workshop to the molten steel being injected into the continuous casting machine, the whole process needs to go through multiple processes, and each process has multiple equipment. The operation plan based on the topological diagram of the steelmaking process is the basis for ensuring the normal operation of the steelmaking process. However, the on-site process is complicated, there are many procedures, and frequent disturbances occur, and the prepared operation plan in units of ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/06G06Q50/04
CPCG06Q10/06312G06Q50/04Y02P90/30Y02P80/10
Inventor 马天雨夏羽刘金平
Owner HUNAN NORMAL UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products