As the global manufacturing industry accelerates its digital transformation, traditional design models in cement plants hampered by fragmented data, inefficient collaboration, and insufficient standardization have become major bottlenecks constraining production efficiency and management advancement. This paper systematically outlines the implementation path and methodology for underlying digital model design based on the Engineering Base (EB) collaborative design platform. By constructing digital solutions encompassing equipment digital models, equipment graphical models, attribute models, project digital models, and their extended design applications, it achieves structured, standardized, and integrated management of cement plant design data. The   implementation in a Lijiang project demonstrates that this solution significantly improves design efficiency and ensures data consistency. It supports end-to-end data connectivity from quotation and procurement through construction and operations, laying a robust data foundation for the cement plant's digital twin system.

By selecting different types of solid waste samples for cement kiln co-pyrolysis experiments, the distribution patterns of sulfur and nitrogen in solid, liquid, and gas products were explored under the influence of different pyrolysis temperatures, residence times, carrier gas flow rate, and heating rate. Based on the principle of Back progatiom （BP) neural network and using Matlab neural network toolbox, a distribution model of pyrolysis product yield for different types of waste under different reaction conditions was established. The input conditions of the model are reaction conditions and sample characteristic parameters, and the output results are the proportion of sulfur and nitrogen in the three-state products. The predicted values of the model are in good agreement with the experimental values, and the accuracy of predicting the distribution of nitrogen and sulfur elements is high; Furthermore time, the composite algorithm was used to optimize the sample characteristic parameters of solid waste, and the sample composition and ratio were optimized. The results met the goal of sulfur and nitrogen control in cement kilns, indicating the feasibility and effectiveness of the model for simulating the pyrolysis process.

Driven by the advancement of the "dual-carbon" goals and the demand for high-performance concrete in the construction industry, the green and refined development of high-quality sand and gravel aggregate production has become the focus of attention in the industry. Traditional aggregate production lines have problems such as high energy consumption, poor particle shape, and severe pollution, making it difficult to meet modern engineering requirements for aggregate gradation stability and low-carbon production. Taking a high-quality sand and gravel aggregate project with an annual output of 3 million tons as an example, this paper elaborates on the technical schemes of the project, including plant layout, process flow, main equipment, particle gradation, product performance, environmental protection control, and intelligent application.The project adopts a two-stage impact crushing process to produce three types of high-quality aggregates and one type of ordinary manufactured sand. The entire process uses closed conveying via belt conveyors and elevators, achieving a dust emission of less than 5 mg/Nm3 in the plant area. Additionally, the aggregates have good particle shape, excellent gradation, and little surface dust adhesion. By implementing a vertical roller mill system for sand making, the project addresses the quality control problems of traditional sand making processes. This system features high production capacity, low power consumption, and the product sphericity reaches over 0.82. The vertical mill sand making process shows high development potential.

This paper addresses the harsh operating conditions of high temperature, high dust, and heavy load in cement industry by proposing, an intelligent equipment fault diagnosis technology based on vibration monitoring and spectrum analysis. It systematically reviews typical cases of predictive,  maintenance for various key equipment in cement production analyzing them from four dimensions: fault phenomena, spectral characteristics, diagnostic conclusions, and maintenance feedback. Practical cases demonstrate that the intelligent diagnostic technology based on vibration monitoring and spectrum analysis can identify early faults such as bearing defects, misalignment, and gear damage in advance. Future research can further optimize fault feature extraction accuracy by combining deep learning algorithms and extend to the field of remaining useful life prediction for equipment, providing more comprehensive technical support for digital transformation of the cement industry. Furthermore, this methodology can be extended to heavy industries such as mining machinery and metallurgical equipment, facilitating high-quality development of the manufacturing industry.

As the environmental protection situation becomes increasingly severe, the pressure to reduce nitrogen oxide (NO_X) emissions from flue gas in China's cement industry continues to grow, and the selective catalytic reduction (SCR) denitration technology has gradually become the mainstream emission reduction solution.However, the long-term lack of national and industry standards for low-temperature SCR denitrification catalysts in cement kilns has led to inconsistent product technical specifications and testing methods, severely hindering their application, promotion, and market standardization.The development of a series of standards for low-temperature flue gas denitrification catalysts for cement kilns has effectively filled the gap in the standard system for this field.This article introduces the research background, key technical indicators, development process, and main content of this series of standards, standardizing product specifications, technical requirements, testing methods, and chemical lifespan evaluation approaches. It provides a quantitative basis for the scientific selection of products, enabling enterprises to reduce NO_X emission concentrations below 50mg/m3, achieving both environmental and economic benefits. It has been successfully selected as one of the 2024 Ministry of Industry and Information Technology's Top 100 Group Standard Application Demonstration and Promotion Cases, holding significant strategic importance for industrial technological iteration and market standardization.

In 2022 and 2024, the National Mine Safety Administration successively issued the "Criteria for Determining Major Accident Hazards in Metal and Non-metal Mines" and its "Additional Items", providing an important basis for identifying mine safety hazards. However, in practice, some items still suffer from issues such as ambiguous judgment benchmark and insufficient quantified judgment criteria, which affect the accuracy and consistency of judgment. This paper focuses on metal & non-metal open-pit mines, analyzing the disputes and difficulties in standard implementation. Key areas of discussion include the treatment of goafs and karst caves, excessive slope angles and bench heights, signs of slope sliding, haul road gradients, waste dumptypes, and slope bench parameters. From the perspective of risk benchmarks, specific recommendations are proposed to refine and quantify the relevant items, aiming to enhance the accuracy, consistency, and operability of judgment.

During the operation of the ball mill cylinder, it is subjected to multiple complex loads, and the volume and weight of the cylinder is large, making it difficult to conduct modal analysis through experiments. This article takes the large ?5m×15m double sliding shoes ball mill as the research object, and uses finite element simulation software to perform modal simulation analysis on the cylinder. The first five modal parameters of the cylinder are obtained, and the operating frequency is calculated. Through analysis, the natural frequency of the cylinder is much higher than the operating frequency, and resonance phenomenon does not occur. Furthermore, through comparative simulation studies on the cylinder modal analysis of ball mills with and without double compartments, the presence or absence of double compartments has little impact on the change of the cylinder's natural frequency.

The supporting roller shoes of rotary kilns are prone to overheating under long-term heavy loads, high temperatures, and alternating stress, significantly impacting equipment stability. The main causes of high temperature in supporting roller shoes include abnormalities in lubricant quality and quantity, insufficient cooling system efficiency, wear of the bearing bush, changes in liner plate clearance, abnormal operation of the hydraulic thrust roller, and misalignment of the kiln centerline. To address these issues, this paper proposes preventive and maintenance measures such as enhancing lubricant management, optimizing the cooling system, performing scraping repair on the bearing bush, adjusting the contact state of the supporting rollers, and regularly inspecting the kiln centerline. Additionally, a detailed emergency response plan has been developed. Practical cases demonstrate that systematic preventive and emergency measures can effectively control the temperature of the supporting roller shoes, ensure the long-term stable operation of the rotary kiln.

The pressure difference of the bag filter is an important parameter affecting its stable operation, and the pressure difference should be controlled within 1 500Pa. Taking the pressure difference control of low-pressure pulse bag filter in a refining furnace of a steel plant as an example, this paper analyzes the mechanical resistance and dust layer resistance as the main factors for the increase of the pressure difference of the filter through the simple resistance formula, and further analyzes the reasons for the increase of the pressure difference of the bag filter in the early stage of operation and in the process of use. By optimizing the air volume distribution of the dust removal point, adding interlocking control, reducing the filtration velocity, strengthening the dust removal mode and upgrading the filter material transformation and other technical improvement measures, the pressure difference of the dust collector is stable at ≤1 500Pa, the dust emission concentration is ≤10mg/Nm³, the dust collector is stable and efficient, and it also meets the requirements of ultra-low emission.

To meet the increasingly stringent ultra-low NOX emission requirements in the cement industry (<50mg/Nm3), this paper takes a 5 000t/d cement production line as an example to introduce the principle and engineering application of calciner deep self-denitrification technology. This technology extends the residence time of NOX in the reduction zone, strengthens the control of the reducing atmosphere, improves the system's denitrification efficiency by raising the height of TAD inlet, expanding the volume of the reduction zone, optimizing the layout of the denitrification duct, and implementing a “separated air, separated coal, separated material' system design. After the retrofit, the NO_X concentration at the outlet of the calciner system was reduced to 350mg/Nm3, ammonia consumption decreased to 2kg/t.cl, and standard coal consumption was reduced by 2kg/t.cl while maintaining the same clinker production, achieving both ultra-low NO_X emissions and optimized operating cost.

The clinker production line experienced issues in the kiln system's grate cooler, including significant fluctuations in the secondary air temperature entering the kiln and the tertiary air temperature entering the precalciner, high coal consumption, and frequent burnout of the "cross bars" in the first section of the grate cooler. Analysis revealed that unstable material flow on the fixed grate bed was the primary cause. The proposed solutions included reducing the terrace height between the fixed grate and the horizontal grate, adjusting the step height, and rotating the entire fixed grate bed. After the modification, the material flow has become stable, the rapid cooling effect has been improved. The secondary and tertiary air temperatures have significantly increased with reduced fluctuations, coal consumption has decreased, the burnout issue of the "cross bars" has been largely resolved, the quality of clinker has been enhanced. The modification has achieved the expected objectives, effectively stabilizing the thermal regime of the kiln system, yielding remarkable economic benefits.

Under the guidance of the "dual carbon" goals, green and low-carbon transformation has become the key path for the high-quality development of the cement industry. The industrial application of energy-saving and carbon-reduction technologies is the key to achieving industrial emission reduction. This article takes a 2500t/d cement clinker production line as the research object, analyzes the problems existing in the kiln system of the production line, and proposes energy-saving renovation goals and renovation plans based on low-carbon cement technology, including optimizing the structure of the preheater to reduce system pressure loss, improving the ventilation in the kiln to enhance heat exchange efficiency, and applying the fourth-generation cooler and high-temperature SCR denitration system, etc. After the transformation, the standard coal consumption per ton of clinker decreased by 7kg/t.cl, the power consumption dropped by 3kW·h/t.cl, the resistance of the preheater system dropped to below 5000Pa, and the temperature at the C1 outlet decreased by 40℃. NO_X≤50mg/Nm3, ammonia escape ≤5mg/Nm3, with remarkable energy-saving and consumption-reducing effects, providing a replicable technical model for the transformation of similar production lines.

After the five-stage preheater of our company's 5 000t/d cement clinker production line was upgraded to a six-stage preheater, the SNCR denitration system encountered problems such as low denitration efficiency, increased nitrogen oxide emission concentration, and excessive ammonia water consumption, resulting in a significant increase in operating costs. To meet the emission concentration limit requirements and reduce operating costs, measures such as detection at each node, re-arrangement of spray guns, and trial-and-error elimination were taken. Through debugging and comparison of the SNCR denitration system, the set goals of reducing nitrogen oxide emission concentration, significantly reducing ammonia water consumption, and lowering operating costs were achieved.