In the process of moving toward high-quality development for iron and steel industry, operating efficiency and energy consumption of steel rolling heating furnace, the core production equipment, could directly affect enterprise competitiveness. The traditional monitor mode relied on manual inspections and experience judgment so that there are such problems as lagged temperature control, low combustion efficiency and isolated data island, which could not meet the requirements of precise and intelligent productions for modern industry. In this paper, the intelligent monitoring system for steel rolling heating furnace are deeply studied, background and significances of developing the system are elaborated as well as deficiencies of traditional monitor mode are analyzed. The framework of intelligent monitoring system for steel rolling heating furnace is established based on advanced sensor technology, the Internet of things, big data analytics and artificial intelligence algorithm as well as hardware structure and software function modules of the system are introduced in detail. The remarkable effects on improving precision of temperature control for heating furnace, optimizing combustion efficiency, reducing energy consumption and ensuring production safety of the system are demonstrated through practical application cases as well as the challenges faced in process of applying the system and future development directions are discussed, which could provide the theoretical and practical references for intelligent upgrade of steel rolling industry.

steel rolling heating furnace  /  intelligent monitoring system  /  sensor  /  Internet of things