Heating Furnace Combustion Control Using Big Data and Mechanism Models
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Solution Overview
Problem
The heating furnace in the steel industry has a low automation level due to its high temperature and dusty environment, and is a significant energy consumer, necessitating improved intelligent control systems for enhanced efficiency and economic benefits.
Innovation Solution
A method and device for intelligent control of heating furnace combustion using a big data cloud platform, involving a three-layer architecture, big data mining, and a mechanism model to integrate and optimize the combustion process, utilizing hardware equipment and software components for data storage, and integrating the combustion process, utilizing hardware and software components for data storage, and integrating data-driven models for real-time control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If traditional control systems are used in heating furnaces, then the system is simpler and easier to operate, but the automation level remains low and energy consumption is high
Solution Approach 1:
The control system is divided into multiple independent modules including data acquisition module, big data processing module, mechanism model calculation module, and control execution module. Each module handles specific functions independently, allowing the complex system to be managed through modular components that can be developed, deployed, and maintained separately while working together to achieve high-level automation.
Solution Approach 2:
A big data cloud platform is introduced as an intermediary between the traditional control system and the mechanism model. This platform processes and analyzes large volumes of production data, extracts key features, and provides optimized parameters to the control system, enabling advanced automation without requiring direct complex integration between all system components.
2Loss of energy
If more sophisticated control systems are implemented, then energy efficiency improves, but the system complexity and implementation difficulty increase
Solution Approach 1:
The mechanism model automatically calculates optimal heating curves and air-fuel ratios based on real-time production parameters and historical data. The system self-adjusts control parameters without requiring manual intervention or complex configuration, reducing implementation difficulty while achieving significant energy savings through optimized combustion control.
Solution Approach 2:
The system performs preliminary calculations and optimizations using the mechanism model before actual production operations. By pre-calculating optimal parameters based on expected production conditions and historical data, the system prepares control strategies in advance, simplifying real-time implementation while ensuring energy efficiency is optimized before execution.
3Productivity
If data-driven approaches are used to optimize combustion, then energy efficiency increases, but the requirement for data infrastructure and processing capability increases
Solution Approach 1:
The big data cloud platform is designed to serve multiple functions: data acquisition from various sensors, data storage and management, data analysis and processing, mechanism model calculation, and control parameter generation. This multi-functional platform consolidates what could be separate complex systems into a unified infrastructure, reducing overall complexity while enabling advanced data-driven optimization of combustion processes.
Data Source
AI summary
The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.