In this paper, the digital twin model for production process of rare earth products is established based on digital twin technology and its visual representation in virtual space is realized. The full-process integration from data collection, transmission to model establishment and visualization is realized with the system through the design of layered architecture. In practical applications, the real-time collection of key equipment data for production line of rare earth oxide could be realized with the system as well as running status of equipment and production process could be visually displayed through the three-dimensional visualization technology. The implementation results showed that the monitoring efficiency in production process was significantly improved, production processes were optimized, production costs were reduced and product quality was improved by applying digital twin technology.

In this paper, the current situations of implementation, advantages, challenges and optimization strategies for co-investment mechanism of employees in state-owned enterprises are discussed. Its connotation, characteristics and application situations in state-owned enterprises are elaborated through literature research and case analysis. It is found in the research that the co-investment mechanism of employees is with significant advantages in motivating employees, promoting enterprise innovation and optimizing governance structure, however, it is also facing such challenges as imperfect improvement and difficult risk control of co-investment mechanism in enterprises. In this paper, such suggestions as perfecting relevant systems of enterprises, optimizing system design as well as strengthening risk management and control are proposed, which could provide references for deepening reform of co-investment mechanism of employees in state-owned enterprises.

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.

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 paper, the effects of such factors as high load operation, excessive concentration of volatile phenols and microbial poisoning on system stability are systematically analyzed aiming at the practical problem of abnormal increase of chemical oxygen demand (COD) in effluent of biological dephenolization system of Inner Mongolia Baotou Steel Qinghua Coal Chemical Industry Co., Ltd.. The COD in effluent is successfully reduced to standard level within two months so that operation pressure of subsequent advanced water treatment system is significantly relieved by adopting such comprehensive measures as reducing load of inlet, optimizing dissolved oxygen concentration, adding COD degrading bacteria and nitrifying bacteria, supplementing alkalinity to stabilize pH value, adding pulverized fuel ash into oxic tank to adsorb toxic substances as well as adjusting the strategies of sludge return and spoil disposal.

The belt conveyer has been widely used in iron and steel enterprises. It is with such characteristics as long transportation time, strong transportation capacity, high safety and efficiency as well as low economic costs. In recent years, it is the key problem how to achieve safety and high efficiency in production process of iron and steel enterprises with the growing demands of transportation capacity for enterprises. The belt conveyer is important equipment for production and development of iron and steel enterprises as well as its safe operation has become an important link in the whole production chain. Once there is the failure of conveyer belt, it will seriously affect normal production of enterprises. In order to ensure the belt conveyer to be operated normally, corresponding preventive measures for tearing of belt should be taken by iron and steel enterprises. In this paper, the causes for tearing of belt for belt conveyer are analyzed, which could provide the basis for solving the problems of belt conveyer brought to production.

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.

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.

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, the construction technology of stay cable for Lanzhou Chaijiaxia Yellow River Bridge is discussed. The general thinking of construction is proposed, construction equipment is designed, selected, stretched and hung up as well as key points of construction and solution are determined so that the technical problems in construction of stretching and hanging up stay cable under complicated condition are solved through systematic study of construction scheme for stretching and hanging up stay cable, which could provide reference examples for the similar constructions in future.