The information barriers could be broken through and the target of data value conversion could be ensured to be realized with data sharing and exchange platform, important product of the digital age. Due to this platform covers several links of data processing including collection, transmission, storage and sharing, it greatly supports cross-department and cross-disciplinary collaborations. The open features of platform are relatively prominent and diverse security risks are faced in operations so that smooth operations of the platform are influenced. In order to maintain normal operations of the platform and ensure to realize its functions, such safe protection measures as strengthening the service supply chain management of platform, perfecting data security management system and strengthening applications of protection technologies are proposed based on full process safe protection of platform, which are hoped to strengthen the safety defense line for operations of platform to maintain the security in each link of data transmission, sharing and exchange.

In the paper, the design, research and development and performance verification of high-efficiency intelligent dry-wet cooling tower are carried out by taking the working conditions of high temperature, heavy dust and high load in the whole process of iron and steel as application scenarios as well as combining with plate-fin demisting heat exchange and intelligent collaborative control technology aiming at the pain points of high energy consumption and water consumption, poor adaptability of working conditions and high operation and maintenance costs for cooling system of ferrous metallurgy. The results showed that the automatic precise switch of dry model and wet model could be realized with the cooling tower, which was adapted to the cooling requirements of the whole process of iron and steel; annual average water-saving percentage could reach 22.3%; zero mist operation could be realized at the working condition of -10 ℃ and relative humidity of 70% so that such industrial problems as scaling, abrasion, drifting mist and higher energy consumption of traditional cooling tower could be effectively solved.

In order to meet the requirements of steel for engineering structures with high strength, high toughness and good welding performance for bridge, the trial production of Q345qE hot rolled H section steel is carried out by Baotou Steel. It is successfully completed through strictly performing the process parameter requirements of the whole process of smelting, refining, continuous casting and hot rolling. The chemical components of trial-produced steel could meet the requirements of GB/T 714—2015 Steel for Bridge Structures, its yield strength is 417~419 MPa, tensile strength is 533~538 MPa, elongation is 28.5%~33.0% and low-temperature impact energy (-40 ℃) is 178~201 J so that all indexes could meet the standard requirements. The comprehensive performances of steel are stable, which could provide the technical support for industrial productions and applications of bridge engineering of Q345qE hot rolled H section steel.

The development idea of green and low-carbon smelting technology is actively practiced in Baotou Steel by taking the principle of “high efficiency, low consumption and high quality”. In recent years, with the increase of proportion of self-produced ore, gas utilization rate of the whole plant is increased by 2.43 percentage points, fuel ratio is cumulatively reduced by 33.1 kg/t and utilization factor of blast furnace is increased by 0.132 t/(m³·d) through actively improving quality of raw materials and fuel, controlling contents of harmful elements as fired, high oxygen enrichment, high blast temperature and coal ratio, selecting suitable theoretical combustion temperature, optimizing charging system, refining basic management of stokehole and standardized operations of production equipment as well as strengthening collaborative guarantee of working procedures. As a result, all technical and economic indicators are with greater progress.

The intelligent steelmaking system for converter integrating neural network and artificial intelligence deep learning technology is developed by taking the 1^# converter of Baotou Steel as research object aiming at such problems as dependence of manual experiences, low intelligence as well as insufficient stability of production efficiency and quality of liquid steel for traditional converter steelmaking. The real-time judgment of converting state, accurate prediction of end point carbon and temperature as well as intelligent collaborative regulation and control of oxygen supply-oxygen lance position are realized by integrating such multi-source heterogeneous data as vision of flame at converter mouth, flue gas analysis and audio testing as well as establishing the dual-drive model of “mechanism-data” combining with such algorithms as the CNN, Bi-LSTM and reinforcement learning. The industrial tests showed that the dual hit rates of end point carbon and temperature for converter were increased to over 90%, smelting cycle of converter was shortened by 2 min as well as cost per ton of steel was reduced by CNY 1~2 Yuan with the system so that the transformation of converter operations from “experience driven” to “data driven” is effectively promoted.

The factors influencing vibration accuracy are found out aiming at the problem of deterioration of synchronism for vibration table of 2-stream crystallizer for CSP continuous casting machine. The target of recovering vibration accuracy is achieved by such measures as replacing the hinge joint bearing of link mechanism for vibration table, adjusting elevation of base for link mechanism of vibration table and coping standard station of installing crystallizer on vibration table.

The steel is the core in modern industrial system and its surface quality influences performances and service life of products. In this paper, it is focused on the research on detection technologies for surface defects of steel, systematically introduced common types of surface defects and their formation mechanisms, comprehensively analyzed advantages and disadvantages of traditional detection methods, elaborated the principles, application results and challenges facing of emerging detection technologies represented by machine vision and deep learning as well as deeply discussed the defect repair technologies and surface quality control strategies. The research showed that the detection precision and efficiency were significantly improved with the emerging detection technologies, but they need to be improved from such aspects as adaptability in complicated industrial environment. In the future, the detection technologies for surface defects of steel will be developed towards the directions of multi-technology fusion, intelligence and standardization to meet the increasing industrial production requirements.

The microstructure of rail could be changed as well as mechanical properties, wear resistance and fatigue resistance of rail are significantly improved with heat treatment process so that service life of rail is increased. The online heat treatment process of remaining heat quenching has become the important part in production process of rail due to its advantages such as high efficiency and energy conservation. In the paper, it is discussed the effects of such key control factors in heat treatment process of rail as the stability of chemical compositions, heating and soaking processes of billet, online cooling process, equipment accuracy and process assembly quality on microstructure and various properties of rail in detail. The quality stability of rail could be guaranteed through the fine control of influence factors, which could meet the demands of modern railway constructions.

As a kind of revolutionary metal protection material, the Zn-Al-Mg coated steel has become the upgraded substitute of traditional zinc-plating material due to its excellent corrosion resistance, self-repairing capability and good processing performance. In this paper, it is systematically overviewed the research status, market analysis, technological progress and development trends of Zn-Al-Mg coated steel at home and abroad. Firstly, it is emphatically analyzed the progress of such key technologies as the composition design, performance optimization, mechanism of corrosion resistance, life model, technological breakthrough of welding and processing as well as environment friendly surface treatment technologies. Secondly, the application status of Zn-Al-Mg coated steel in such fields as photovoltaic industry, automobile and construction is discussed as well as future development trends towards high strength, light weight, environmental protection and intelligentization are proposed aiming at such challenges facing by the industry as non-uniform technical standards and cost pressure. Finally, the suggestions on healthy development of Zn-Al-Mg coated steel industry in our country are put forward.

In order to evaluate the welding fatigue performance of plate with high strength wind power steel Q420NE, the plate with the thickness of 20 mm is welded with submerged arc welding process, fatigue trend diagram (S-N curve) of welded joint is obtained through fatigue test and fatigue limit under set condition is calculated based on this. When repetitive loading is set to be 10⁷ times, the maximum measured fatigue stress of welded joint is approximately 300 MPa, corresponding stress amplitude is 150 MPa and survival rate is 50%; when survival rate is 97.7%, its maximum fatigue stress is approximately 284 MPa and corresponding stress amplitude is 142 MPa.