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.

The influencing mechanisms of banded structure, nonmetallic inclusions and grain size on transverse impact toughness are systematically analyzed aiming at such problems as great fluctuation of transverse impact property and unstable low-temperature toughness of H beam SM490YB for ocean engineering. The Mn segregation and spheroidized inclusions are effectively inhibited, grains are refined as well as microstructure homogenization is realized through adopting such comprehensive measures as composition optimization, modified inclusions with Ca treatment, low superheat continuous casting as well as controlled rolling and cooling. The transverse impact energy at -20 ℃ is improved, fluctuation is reduced, banded structure is improved, spheroidization effect of inclusions are obvious and grains are refined for H beam with specification of H300×300 with treatment of optimum technology.

The study on composition design of Nb microalloying and process optimization for HC300LAD+Z high strength low alloy steel is carried out based on the 1 880 mm hot-dip galvanizing production line of Baotou Steel in order to meet the market requirements of 300 MPa grade high strength galvanized sheet for light weight of home appliances. The effects of soaking temperature for hot-dip galvannealing process (790~850 ℃) on mechanical properties of product are systematically studied through the thermal simulation test and industrial trial production. The results showed that the increase of soaking temperature caused grain coarsening, yield strength was decreased from 335 MPa at 790 ℃ to 297 MPa at 850 ℃ and elongation was increased from 28% at 790 ℃ to 38% at 850 ℃. The target soaking temperature of annealing for industrial production is controlled at 810±15 ℃, microstructure is equally distributed ferrite+ a small quantity of pearlite without mixed crystal, yield strength is 310~368 MPa and elongation is 28%~39% for product, which could meet the thickness reduction requirement of 20% for components of home appliances so that the solution of reliable material for light weight of steel for home appliances is provided. The influencing mechanisms of annealing temperature on recrystallization behavior of Nb microalloyed steel are revealed in this study, which could provide the practical references for optimizing production process of high strength low alloy steel with similar production lines.

The industrial trial production of S420MLO hot-rolled high-strength low temperature resistant H beam for ocean engineering is carried out by Baotou Steel based on the industrial tests. The results showed that the yield strength of test steel was greater than 450 MPa and with certain surplus, its tensile strength was 615~628 MPa, average yield ratio was 0.75, elongation could reach over 26% as well as impact energy at -40 ℃ could meet standard requirement so that it is with excellent strength and toughness. The microstructure of test steel is mainly composed of ferrite and pearlite, the nano precipitated phase in matrix is with length of 100 nm and width of 20~30 nm, which could significantly improve the properties of steel. The S420MLO hot-rolled high-strength low temperature resistant H beam developed is with excellent comprehensive properties, which could provide the solid material support for safe service of such equipment as ocean platforms.

The epoxy resin is with the characteristics of high specific stiffness and specific strength so that it is widely used in such fields as the aerospace, automobile, construction and electronics. Its main disadvantage is brittleness so that the bending property of composite using it as the matrix is reduced. It is one approach for effectively solving this problem to use nano materials as the filler of epoxy resin. Therefore, the effects of hybrid filler composed of metallic nanoparticles and inorganic nanomaterials added into epoxy resin on bending property of epoxy resin matrix are mainly studied in this paper. The Fourier transform infrared spectroscopy (FTIR) test results showed that the hybrid filler composed of nano-Ti, nano-MoS₂ and carbon nanofibers (CNFs) was physically adhered with epoxy resin matrix so that the bending property of epoxy resin matrix was significantly improved. The hybrid filler is prepared with nano materials of four different weight percentages (2%, 4%, 6% and 8%). Among these, the enhancement effect of hybrid filler with 4% of nano materials on bending property of epoxy resin matrix is optimum. The morphology characterization of crimped section is carried out with scanning electron microscope (SEM). The synergetic enhancement effects of different metallic nanoparticles and inorganic nano materials on resin matrix are deeply analyzed in this paper, which is hopeful to provide guidance for improving the bending property of resin matrix composite.

The high carbon medium manganese steel is with the La+Ce complex processing. The occurrence state and change rules of storage for La and Ce in high carbon medium manganese steel as well as the effects of La and Ce on sulfides, oxide inclusions, microstructure, static compression hardening efficiency and impact wear property are systematically studied through the composition analysis, microstructure observation, 30% static compression, impact wear test and theoretical analysis. The study results showed that the contents of solid solution La and Ce in steel could not be increased by adding into a large amount of La and Ce as well as they all remained below 0.003 5% for high carbon medium manganese steel. The 30% static compression hardening efficiency at room temperature can be improved with La and Ce, from 94.4% without La and Ce to 96.68%~108.2% with La and Ce; impact wear resistance of sample is improved with La and Ce as well as relative wear resistance is increased by 1.057 0~1.606 9 times when impact load is 2 J and 1.080 4~1.374 1 times when impact load is 5 J. Under the experimental conditions, the optimal amount of La+Ce added into high carbon medium manganese steel is 0.20%~0.25%.

Under the background of national strategy of “east data, west computing”, Baotou Steel Group actively promotes the construction of data center relying on its energy and regional advantages. In this paper, it is introduced the technical architecture and construction practices of data center of Baotou Steel Group, analyzed its technical solutions from such aspects as green energy saving, integration of storage and computing and information technology application innovation cloud platform, summarized the application effects of data center in such fields as intelligent manufacturing and data governance as well as discussed the challenges facing and countermeasures for future development. The experiences of constructing data center of Baotou Steel Group could provide references for similar enterprises.

The robot has wide application scenarios in industrial field. In this article, the advantages and disadvantages and applicable scenes for inspection robots with different structures are discussed; structure and such key technologies as motion control of self-propelled orbit type inspection robot are mainly studied; frame structure, such modules of constituting inspection robot as main control system, control device of motion and walking, signal pickup assembly of vision and sensor, power management (charging device), wireless communication system and auxiliary functions and hardware design of corresponding modules are introduced; motion control method with proportion integration differentiation (PID) control technology of inspection robots and motion control optimization method of inspection robot with the technology of artificial neural network are studied; detection method of motion track for inspection robot based on radio frequency identification (RFID) technology is discussed; applications of inspection robot in industrial field are briefly introduced finally. The movement velocity and stability of inspection robot are improved so that its movement process is effectively optimized with the technologies and methods described in the paper, which could provide the technical support for applications of inspection robot in industrial field.

This paper is aimed to discuss the strategies for coal machine enterprises to manufacture middle trough of scraper conveyor with intelligent welding equipment. The applications of intelligent welding technologies in production of middle trough for scraper conveyor are comprehensively studied, which include the design of welded structure and process optimization as well as real-time monitoring integrated with multiple sensors. The comprehensive applications of multiple technologies could significantly improve the welding operation efficiency and welding quality of middle trough. It is expected that the content of this research could provide intelligent solutions as references for manufacturing enterprises of coal machine and mining production units.

As the key node of urban gas transmission and distribution system, safe and stable operations of gas station are highly dependent on continuous and high-quality electric energy supply. In this paper, the systematic research is carried out combining with the reliability theory and energy storage technologies of electrical power system aiming at the vulnerability of power supply system for key equipment in gas station (take the city gas gate station and LNG peak-shaving station as examples). Firstly, identify such key sensitive loads as compressor, electric drive pressure regulating device, safety instrumented system (SIS) and process control system (PCS) based on the architecture of power supply and distribution system as well as load characteristics in typical gas station; secondly, the influence probability and severity of consequences of such accidents as external power grid failures, internal electrical failures and voltage sag on key loads are with quantitative analysis by establishing vulnerability evaluation model of power supply system combining with the probabilistic risk assessment (PRA) and sequential Monte Carlo simulation; finally, the enhancement strategies taking energy storage system (including but not limited to UPS, flywheel energy storage, super capacitor and hybrid energy storage) as the core are proposed, optimum collocation model of energy storage capacity with the targets of power supply reliability, power quality improvement and full life cycle economy is established as well as emulation proof is carried out with the platforms of ETAP and MATLAB/Simulink.

The research object of this paper is the light carriage of electric wheel mining dump vehicle with load of 330 t. The three-dimension design of light carriage is carried out with Pro-E software, the simplified three-dimensional model is introduced into ANSYS for finite element analysis. The structural safety of carriage under the two typical working conditions of being fully loaded and stationary as well as driving on uneven road is analyzed based on the actual operations of electric wheel mining vehicle. The analysis results showed that the overall stress distribution of light carriage was more uniform, safety factor was larger, while deformation was relatively smaller as well as its strength and stiffness could meet the use requirements.

In order to solve the problem that the dispersed degree of detection results for residual carbon in incoming inspections of diesel oil is high, the effects of constant weight operation on inspection data stabilization are explored by selecting such four key indexes as residual carbon, ash content, total pollutants and mechanical impurities with the control variate method in this study. The results showed that there were no obvious differences for the stabilization of two groups of data due to the mandatory constant weight in standard of detection of ash content; the relative standard deviations of detection results for residual carbon, total pollutants and mechanical impurities were increased to 5.3%, 8.7% and 7.9% respectively as well as dispersed degree of data was significantly increased without constant weight operation. In the detection of residual carbon for diesel oil, the uncertainty of weighing could be effectively reduced and system errors could be controlled by supplementing constant weight operation of empty sample tube so that the accuracy and repeatability of detection data in such situations as low residual carbon (≤0.1%) samples and proficiency testing could be improved. This study provides the references for quality control of detecting diesel oil in laboratory.

The disease characteristics are accurately studied and judged through refined detection on site aiming at such composite diseases as sedimentation, leakage and structural aging that have become prominent during the operations of closed conduit for diversion closed conduit of Baotou Steel for over 65 years. The systematic comprehensive treatment scheme is established by adopting the collaborative dredging technology of “horizontal directional drilling machine+ dredging vehicle with high-pressure water jet” and graded leaking stoppage technology of composite grouting as well as combining with the full-process closed-loop construction monitoring system. The water transfer function of closed conduit is fully recovered, conveyance capacity is increased from 30% before treatment to 5 m³/s, the designed flow rate of water transfer and service life of structure is extended by over 15 years after implementing this scheme, which provides the reproducible and propagable technological paradigm for treating aged water conservancy facilities in the Yellow River basin.

The construction industry is currently undergoing digital transformational changes. The traditional construction engineering management model is faced with such pain points as extensive management and control, low efficiency and insufficient collaboration, which is difficult to adapt to the demands of high-quality development. The intelligent construction technology is promoted to become the core driving force of engineering management innovation by issuing the Guidelines of Intelligent Construction Technology (Trial). In this paper, the core connotation of intelligent construction technology and transformation needs of construction engineering management are sorted out, internal logics of their integration are explored, innovative application paths of intelligent construction technology in engineering cost, schedule, quality and safety control are focused on, implementation guarantee system of technology applications is constructed as well as the demonstration is supplemented combining with relevant technical principles and industrial construction application scenarios by adopting the methods of literature research and theoretical analysis. The research showed that the digitization, refinement and intelligent upgrade of engineering management could be realized, bottlenecks of traditional management could be broken as well as efficiency and quality of engineering management could be improved with the intelligent construction technology.

The rectification of audit is the “second half” of audit supervision in state-owned enterprises, the “last kilometer” to realize achievement transformation of audit as well as key link of maintaining the safety of state-owned assets and promoting high quality development of state-owned enterprises. In the paper, the prominent problems of ideological understanding, implementing responsibilities, mechanism construction, supervision collaboration and audit team construction in rectification of audit are analyzed by taking the requirements of closed-loop management system of auditing administration as guidance, combining with the regulations of Rectification and Implementation Measures for Problems Identified in Audit issued by the Audit Office of Inner Mongolia Autonomous Region, basing on the characteristics of large asset scale, multi-level supervision, long business chains and great social responsibilities of state-owned enterprises as well as focusing on their actual situations. Moreover, the optimization strategies are proposed from such five dimensions as implementing responsibilities, perfecting regimes, enabling technologies, establishing collaborative mechanisms and audit team construction, which could provide references for state-owned enterprises to achieve the goal of “rectifying one problem, perfecting one regime and governing one field”.