Digital Intelligence Empowers Annec to Provide Green, Intelligent and Efficient Hot Blast Stove Solutions

In the process of achieving the goals of carbon peaking and carbon neutrality and promoting the development of green and low-carbon ironmaking, Annec High-Temperature Technology Group advances the coordination of green and low-carbon hot blast stove technology R&D, product manufacturing and services. It is committed to providing intelligent, green and efficient hot blast stove solutions for ironmaking blast furnaces, contributing to the low-carbon transformation and high-quality development of the iron and steel industry.

As the only engineering service provider at home and abroad integrating a complete industrial chain including hot blast stove engineering design (Class B metallurgical qualification), full-series refractory manufacturing, engineering construction (Class II metallurgical qualification) and technical consulting, Annec has innovated the technical system and product technical standards for high-efficiency, clean and high-wind-temperature hot blast stoves. In recent years, Annec has continuously strengthened and supplemented the industrial chain, built the Luoyang Annec High-Temperature New Materials Industrial Park, and adopted advanced information technologies such as industrial internet, big data and cloud platforms as well as intelligent equipment. This has made informatized and intelligent production and testing faster and more accurate, product quality more stable, and the standardization level of hot blast stove refractory manufacturing continuously improved. Annec empowers traditional refractory manufacturing with informatization and intelligence, enhances new quality productive forces, and promotes the technological innovation and iterative upgrading of hot blast stoves.

There is still a significant gap between China's blast furnace wind temperature and the international advanced level, mainly limited by problems such as low operating efficiency of hot blast stoves, extensive combustion control, and prominent potential safety hazards of equipment. Traditional hot blast stoves rely on manual experience for control, lacking real-time coupling analysis of the dynamic thermal balance of the blast furnace-hot blast stove system, resulting in insufficient coordination between wind temperature and economy and serious energy waste. At the same time, as a high-temperature pressure-bearing equipment, the periodic alternating thermal stress of hot blast stoves is prone to cause safety hazards such as furnace shell cracking and refractory spalling. However, existing testing methods are mostly regular offline flaw detection, which cannot realize real-time monitoring, and have problems such as large monitoring blind spots and poor timeliness. Annec has collaborated with the University of Science and Technology Beijing to develop terminal data application models such as the hot blast stove economic wind temperature large model, intelligent control furnace combustion system, and online stress monitoring system, leading the intelligent and digital development of hot blast stoves.

Blast Furnace-Hot Blast Stove Linked Economic Wind Temperature Large Model — Improve Wind Temperature and Increase Benefits Under the Most Economic Conditions

According to different operating conditions of blast furnaces, through the calculation of hot blast stove thermal parameters and big data deep learning, this model explores the interactive coupling relationship between hot blast stove operating parameters, structural parameters and the reasonable wind temperature of blast furnaces. By establishing a multivariate economic wind temperature model, it achieves the optimal balance between fuel cost and wind temperature, providing algorithmic support for refined energy management.

Hot Blast Stove Intelligent Control System — Reduce Gas Consumption by 3%, Increase Hot Blast Temperature by 30℃, and Achieve Economic Benefits of Over 10 Million Yuan per Year