Abstract: With the development of technology, digital and intelligent technologies are playing increasingly critical roles in economic and social development. China has proposed a series of strategies to promote digital and intelligent transformation in various industries, to drive economic development and achieve sustainable development. The steel industry generates a large amount of dust during production, which poses a severe threat to the environment and human health. The dust removal system, as an important component of environmental protection equipment in the steel industry, still has a low level of digital intelligence. Based on the actual needs of operation and management, this project combines information network platforms and big data analysis technology to develop intelligent fault monitoring and diagnosis technologies for dust removal systems, including data collection and transmission technology for the dust removal system, automatic visual inspection technology for the scraper ash conveying system, intelligent pulse valve spraying control and bag leak diagnosis and location system, intelligent diagnosis technology for fan faults, and intelligent inspection and diagnosis technology for electrical rooms. These technologies have been applied in the project of the Zhanjiang Plant of Baosteel Corp. This technology improves the efficiency of equipment maintenance and reduces the maintenance costs, enhances the safety and stability of equipment operation, further realizes the scientific, intelligent, and refined operation management of the environmental dust removal system, and enhances the market competitiveness of enterprises.