The equipment in production line of rolling is with such characteristics as large size, long distance and high accuracy requirements. In the paper, the combined measurement technologies of laser tracker and total station are studied aiming at the problem that ranging accuracy of total station is relatively low. When lay the control network, such advantages as high angle measurement accuracy and long measuring distance of total station as well as high ranging accuracy of laser tracker are made full use to minimize measuring errors and complete measurement of high accuracy equipment in production line of rolling without complicated calculations.

The iron and steel industry plays a key role in the national economy and its equipment management level is closely related to the market competitiveness and sustainable development prospects of enterprises. There are such common problems as low level of intelligence for equipment management, poor operating environment and processes are not clear in iron and steel enterprises so that traditional equipment management modes cannot meet the requirements of high efficiency, precision and intelligent management for modern iron and steel enterprises. The equipment management level and production efficiency are further improved, operating costs are reduced as well as comprehensive competitiveness of enterprise is enhanced by carrying out the life cycle management of equipment that focuses on digital construction, applications of new technologies as well as green and sustainable development.

In the article, it is discussed the effects of drying time, prepared sizes, preparation time, stirring means and storage time of samples on measurement results of caking index which are not specified in the national standard GB/T 5447—2014. Such two types of frequently-used bitumite, coking coal and gas coal are selected for experimental study. The study results showed that the effects of drying time, particle size and preparation time of samples on measurement results of G value were the most significant, the effects of analysis link and storage time of samples on measurement results of G value took second place, while the effects of stirring means on measurement results of G value were minimum. The specified control conditions of related influencing factors are given through experiments so as to achieve the goal of improving the accuracy of measurement results for caking index of bitumite.

The samples are prepared with fused bead method, contents of calcium fluoride, silicon dioxide, phosphorus and sulfur in fluorite are determined with wavelength dispersion X-ray fluorescence spectrometry as well as effects of such factors as type of flux, dilution ratio, weighing sample, melting temperature and melting time on determination results are analyzed so that optimal experimental conditions are determined. Meanwhile, the working curves of each element are drawn using standard samples and self-made control samples as well as correlation coefficients all reach over 0.999. The precision experiment showed that the relative standard deviation (RSD, n=10) of determination results for contents of calcium fluoride, silicon dioxide, phosphorus and sulfur in fluorite was 0.23%~4.80%, the accuracy experiment showed that the difference values of measured values, standard values and chemical analysis values for contents of calcium fluoride, silicon dioxide, phosphorus and sulfur in standard sample of fluorite and control sample of wet chemical analysis were within the range of allowable deviation for the methods of GB/T 5195.5—2017, GB/T 5195.6—2006, GB/T 5195.1—2017 and GB/T 5195.8—2006. The method is with shorter analysis process, higher sensitivity and certain promotion and application value compared with wet chemical analysis.

In this paper, it is introduced the determination of oxygen content in lanthanum-iron alloy with the pulse melting-infrared absorption method. The preparation method and optimal analysis conditions are determined by studying the preparation methods of sample as well as analyzing the effects of power, weighing sample and flux on determination results of oxygen content. The standard deviation is less than 5% and recovery rate is 95%~105% for this method, so it is with good precision and accuracy.

In the paper, it is elaborated comprehensively integrate idea of green development in procurement activities, drive green development of procurement by means of digital intelligence tools, promote green manufacturing with green procurement, build brand of green digital intelligence supply chain, guide and drive green, low carbon and circular synergetic development of upstream and downstream enterprises as well as accelerate green and low carbon transformation development of the entire chain for iron and steel enterprises from the perspective of modern supply chain, which could play a role of demonstration and leading for state-owned enterprises to achieve the national strategic goal of “carbon peaking and carbon neutrality” as well as provide strong supports for accelerating establishment of world-class enterprise.

In the paper, the diversified application practices of such modern intelligent technologies as the Internet of things, big data, unmanned aerial vehicle and artificial intelligence in safety production management are deeply discussed based on their advantages. It is with such advantages as improving working efficiency, reducing accident risks, providing intelligent decision supports and saving costs to apply the intelligent technologies in safety production. As a result, the level of safety production management in enterprises is improved significantly with the intelligent technologies, which is helpful to optimize safety production management system. This paper is aimed to provide the application practice cases for related fields and promote the intelligent upgrade of safety production management.

With the advancement of information construction for iron and steel enterprises, the data volume generated in various production technology process links is increased significantly, especially the data for raw materials and logistics of iron and steel, which shows universality, relevance, diversity, dynamism and complexity. In order to explore data values fully, the data warehouse of raw materials is successfully established, visualization management and deep analysis for raw material data of steelmaking are realized as well as mining, processing and analysis of data for raw materials and logistics of iron and steel enterprises are completed successfully with the big data platform, combining the ETL(extract, transform, load) data extraction technology with converging and developing personalized data aiming at the data for raw materials and logistics of steelmaking for a steel mill.

The prominent problem existed in the production and sales for Kabuki Mine of Wuhai Mining Co. is high rate of fine ore of raw ore, while the sale price of fine ore in market is the lowest so that costs are difficult to be covered. Therefore, it is of great significances for reducing costs and increasing benefits in mines to improve on-site blasting technology so as to improve blasting quality. In order to find new method to improve the blasting effect, numerical simulation of blasting in the zone of total explosion is realized based on different blasting schemes so that the technical problem of past single-hole numerical simulation is solved as well as the effects under different blasting conditions are with comprehensive and deep analysis. Finally, the scientific and reasonable technical scheme is proposed by optimizing blasting schemes combining with such three aspects as design, analysis and numerical simulation so that blasting costs are saved. The experimental study on hole-by-hole blasting with uncoupled charge in radial direction is designed and proposed through studying the influencing factors of blasting process on generation of fine ore and combining with existing technical plan of blasting for the mine. The numerical simulation of blasting scheme in blast zone is carried out based on the GDEM blasting simulation software and particle size is analyzed for simulation effects. The study showed that the rates of fine ore and block were decreased by 9.45% and 3.07% respectively, qualified lumpiness was increased by 12.52 % and blasting effects were significantly improved with the optimization scheme.

In order to change the current situations that iron grade of flotation tailings is higher and loss of ferrous metal is great in the complex process of iron separation of ore grinding, weak magnetic separation-high intensity magnetic separation-flotation, the recycling process of ore grinding-magnetic separation is adopted for flotation tailings. The contrast test for recovery of magnetic separation with single variable is carried out with different ore grinding modes (ball mill and attrition mill) and flotation tailings of different granularities. With the increase of proportion of fine minerals, the yield of magnetic concentrate is decreased from 76.73% to 48.78%, grade is increased from 38.1% to 61.15% and recovery rate is decreased from 86.20% to 78.29% after grinding flotation tailings by attrition mill. The yield of magnetic iron concentrate is decreased from 78.05% to 56.63%, grade is increased from 38.10% to 55.78% and recovery rate is decreased from 92.80% to 82.92% after grinding flotation tailings by ball mill under the same magnetic separation conditions.