Process parameter automatic matching and issuing control method based on raw material classification
By establishing a raw material classification standard library and a process parameter library, automatic matching and one-click distribution of process parameters are achieved, solving the problem of errors caused by manual input in metallurgical production lines, improving process stability and efficiency, and ensuring parameter accuracy and traceability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HANDAN DINGSHENG DIGITAL INTELLIGENCE TECHNOLOGY CO LTD
- Filing Date
- 2026-03-18
- Publication Date
- 2026-06-05
AI Technical Summary
Traditional metallurgical production lines suffer from problems such as manual input of process parameters when changing coils or specifications, which rely on experience, are prone to errors, are inefficient, and cannot be fixed, automatically recorded, or traced.
Establish a raw material classification standard library and a standard process parameter library. Automatically match the optimal process parameters based on raw material attributes, and support manual optimization and memory updates. Enable one-click parameter distribution to the PLC, and record the distributed parameters and bind them to the finished product roll number.
It improves process stability, increases efficiency in changing specifications, reduces training costs for new employees, ensures parameter accuracy, and enables full traceability, thereby reducing the difficulty of troubleshooting quality issues.
Abstract
Description
Technical Field
[0001] This invention relates to the fields of intelligent manufacturing and automatic process control in metallurgy, specifically to a method for automatically matching optimal process parameters based on raw material properties and sending them to a PLC for execution. Background Technology
[0002] Traditional metallurgical production lines commonly encounter the following problems when changing coils or specifications: Operators manually input process parameters based on experience, relying on experienced workers, while newcomers are prone to making mistakes. The raw materials have many specifications and parameters, and manual data entry is slow and inefficient. Experience cannot be solidified or passed on, and staff turnover leads to fluctuations in processes. Manual input is prone to errors, resulting in instability in thickness, width, plate shape, and mechanical properties; It cannot automatically record actual usage parameters, and when quality problems occur, the source of the process cannot be traced.
[0003] Existing technologies lack a standardized process execution mode that automatically identifies raw materials, automatically matches processes, allows for one-click deployment, and can be optimized and remembered. Summary of the Invention
[0004] Purpose of the invention This paper provides an automatic matching and distribution method for process parameters based on raw material classification, realizing a closed-loop process management of "raw material identification → process matching → automatic distribution → manual optimization → memory update". Technical solution
[0005] Establish a raw material classification standard library, including core attributes such as material, thickness, width, hardness, raw material source, and application. Establish a standard process parameter library: For each type of raw material, configure the corresponding optimal process parameters (speed, tension, temperature, pressure, roll gap, elongation, etc.) for each unit. Before production, the system automatically reads the raw material and finished product specifications based on the finished product roll number / plan roll number; The system automatically matches the optimal process parameters according to the raw material category; The parameters are displayed on the HMI interface, which operators can confirm, fine-tune, and send to the PLC with one click; If the operator modifies the parameters, the system can choose to remember and update them, storing the optimized parameters in the process library; The system automatically records the actual parameters issued this time and binds them to the finished product roll number to achieve process traceability.
[0006] Core Innovation Points The raw material classification is linked to the process library, enabling the standardization and solidification of process parameters, without relying on human experience; Automatic matching and one-click distribution reduce manual data entry and improve the efficiency of specification changes; It supports manual optimization and memory updates, making process parameters more accurate with use and adapting to production line characteristics; The issued parameters are bound to the volume number, making the entire process traceable and facilitating the investigation of quality issues. Beneficial effects
[0007] The process stability is significantly improved, and the fluctuations in thickness, width, plate shape, and mechanical properties are reduced by more than 80%. Changing specifications increases efficiency by 60%, allowing new employees to get started quickly and reducing training costs; Experience is solidified into digital assets, and personnel turnover does not affect process stability; The process parameters are traceable throughout the entire process, and the cause of quality problems can be quickly located. It is compatible with multiple units such as pickling, rolling mill, and galvanizing, and has strong versatility and low implementation cost. Detailed Implementation
[0008] Maintain the raw material classification and standard process parameter library: classify by attributes such as material (e.g., Q235, SPCC), thickness (e.g., 0.5-3.0mm), and width (e.g., 1000-1500mm), and configure the process parameters for each unit for each category; When the production plan is issued, the system associates the raw material specifications with the finished product roll number / plan roll number and automatically matches the corresponding process parameters; The system pushes the matched parameters to the corresponding unit's HMI interface, displaying key parameters such as speed, tension, and temperature; Once the operator confirms the parameters are reasonable, they can make minor adjustments based on the actual situation on site (e.g., temperature ±5℃). Then, by clicking the "Issue" button, the parameters are directly synchronized to the PLC for execution. If the process effect is better after fine-tuning (such as improved plate pass rate), the operator can check "memory update", and the system will update the optimized parameters to the standard process library, overwriting the original parameters. The system automatically records the issuer, issue time, parameter value, corresponding volume number, and unit number to form a process history table; It supports querying historical process parameters by roll number, specification, time, and unit, providing a basis for quality analysis and process optimization.
Claims
1. A method for automatic matching and distribution of process parameters based on raw material classification, characterized in that, include: (1) Establish a raw material classification system, including material, thickness, width, hardness, and raw material source attributes; (2) Establish a standard process parameter library corresponding to the raw material classification; (3) Automatically identify raw material specifications based on finished product roll number or plan roll number, and automatically match the optimal process parameters; (4) Push the matched parameters to the HMI, and after confirmation, send them to the PLC for execution; (5) Supports operators to fine-tune parameters and can update the optimized parameters to the standard process library.
2. The method according to claim 1, characterized in that, The process parameters include speed, tension, temperature, pressure, roll gap, and elongation.
3. The method according to claim 1, characterized in that, The system automatically records the actual process parameters of each roll and binds them to the finished roll number to achieve process traceability.