Product Introduction
Ablyy’s Process Optimization Model System is a cutting-edge big data intelligence platform specifically developed for the steel industry. At a critical juncture in the sector’s transformation toward intelligence and efficiency, Ablyy leverages its deep technical expertise and profound understanding of steel production processes to deliver this innovative solution, driving new breakthroughs in production process control for steel enterprises.
Steel production involves complex processes, and traditional process control models based on mechanistic principles have significant limitations. Ablyy’s Process Optimization Model System addresses these challenges by integrating advanced technologies such as big data analytics, neural network deep learning, and machine learning to solve real-world issues in steel production. The platform collects, organizes, and analyzes massive production datasets to uncover latent value, building high-precision big data models for precise process control and optimization.
Seamlessly integrated with Ablyy’s existing process control platforms, this system enhances functionality by providing accurate production parameter settings to improve product quality, reduce manual intervention, and advance automation. It empowers steel enterprises to enhance competitiveness and excel in a dynamic market.
Product Advantages
♦ Production Optimization:
Effectively addresses production challenges and quality issues arising from wide variations in steel grades, specifications, and production changes in the rolling industry.
Improves first-piece quality hit rate and production stability, minimizing transitional scheduling.
♦ Technical Sophistication:
Combines big data analytics, neural network deep learning, and machine learning to process complex datasets and build high-precision models.
Overcomes limitations of traditional mechanistic models (e.g., limited accuracy, inability to capture uncertainties).
♦ High Compatibility:
Decouples model training from deployment using self-developed online model execution software.
Eliminates dependence on TensorFlow-specific files and supports multiple OS and programming languages.
♦ Low Hardware Requirements:
Proprietary online models run efficiently without TensorFlow’s hardware demands, reducing computational requirements and retrofitting costs.
♦ Cost-Effective Software:
Uses open-source TensorFlow for deep learning and 自研 (self-developed) code for interfaces, eliminating commercial software expenses.
♦ User-Friendly Interface:
Simplifies deep learning through intuitive workflows and visualizations, enabling non-experts to leverage big data modeling.
♦ Industrial-Grade Customization:
Developed in C# and C++ (standard in industrial control software), ensuring stability, readability, and maintainability in harsh environments.
