State Of Technology Research Articles

The Application of Mathematics in Geophysical Image Processing and Analysis

With the widespread application of big data technology across various industries, cultivating big data analysis capabilities in accounting-related majors has become a crucial direction in higher education. This study aims to explore the construction of a practical training base for big data analysis in accounting majors in the "intelligent" era. By analyzing the current application status of big data technology in the accounting field and combining it with educational and teaching needs, a systematic and scientific training base construction plan is proposed. The research results show that building a big data analysis training base can not only enhance students' data analysis capabilities and practical skills but also provide strong support for the teaching reform of accounting majors in colleges and universities.

The Current Status and Development Trend of Water Control Technology for Horizontal Wells

In the advancement of bottom water reservoir development, water breakthrough poses a significant challenge to the productivity of oil and gas wells, underscoring the paramount importance of effective water control strategies. Given the intricate nature of the factors leading to reservoir water breakthrough, a one-size-fits-all approach to water management is non-existent. Rather, tailored water control techniques are necessary to address the diverse causes of this phenomenon. This paper delves into the evolution and application of water control technologies, particularly focusing on the prevalent horizontal well water control methodologies. Horizontal well variable density water control, segmented water control, double horizontal well oil recovery water control, along with advanced solutions such as ICD (Inflow Control Device), ICV (Inflow Control Valve), AICD (Autonomous Inflow Control Device), and AICV (Autonomous Inflow Control Valve) water control systems are comprehensively introduced. Furthermore, center-controlled, mechanical plugging, and chemical plugging water control technologies are also examined in depth, accompanied by a thorough analysis of their respective strengths, limitations, and adaptability to various scenarios. By keeping abreast of both domestic and international trends in horizontal well water control, the future trajectory of this field is forecasted. Emerging as key technologies are novel composite water control systems, dual-purpose water control and sand prevention techniques, and intelligent water control solutions. These advancements promise to revolutionize the management of water breakthrough in bottom water reservoirs, enhancing oil and gas recovery efficiency and sustainability.

Current Status of Image Recognition Technology in the Field of Corrosion Protection Applications

Current Status of Image Recognition Technology in the Field of Corrosion Protection Applications

The application status of sequencing technology in global respiratory infectious disease diagnosis.

Next-generation sequencing (NGS) has revolutionized clinical microbiology, particularly in diagnosing respiratory infectious diseases and conducting epidemiological investigations. This narrative review summarizes conventional methods for routine respiratory infection diagnosis, including culture, smear microscopy, immunological assays, image techniques as well as polymerase chain reaction(PCR). In contrast to conventional methods, there is a new detection technology, sequencing technology, and here we mainly focus on the next-generation sequencing NGS, especially metagenomic NGS(mNGS). NGS offers significant advantages over traditional methods. Firstly, mNGS eliminates assumptions about pathogens, leading to faster and more accurate results, thus reducing diagnostic time. Secondly, it allows unbiased identification of known and novel pathogens, offering broad-spectrum coverage. Thirdly, mNGS not only identifies pathogens but also characterizes microbiomes, analyzes human host responses, and detects resistance genes and virulence factors. It can complement targeted sequencing for bacterial and fungal classification. Unlike traditional methods affected by antibiotics, mNGS is less influenced due to the extended survival of pathogen DNA in plasma, broadening its applicability. However, barriers to full integration into clinical practice persist, primarily due to cost constraints and limitations in sensitivity and turnaround time. Despite these challenges, ongoing advancements aim to improve cost-effectiveness and efficiency, making NGS a cornerstone technology for global respiratory infection diagnosis.

Challenges and Perspectives of Environmental Catalysis for NO x Reduction.

Environmental catalysis has attracted great interest in air and water purification. Selective catalytic reduction with ammonia (NH3-SCR) as a representative technology of environmental catalysis is of significance to the elimination of nitrogen oxides (NO x ) emitting from stationary and mobile sources. However, the evolving energy landscape in the nonelectric sector and the changing nature of fuel in motor vehicles present new challenges for NO x catalytic purification over the traditional NH3-SCR catalysts. These challenges primarily revolve around the application limitations of conventional industrial NH3-SCR catalysts, such as V2O5-WO3(MoO3)/TiO2 and chabazite (CHA) structured zeolites, in meeting both the severe requirements of high activity at ultralow temperatures and robust resistance to the wide array of poisons (SO2, HCl, phosphorus, alkali metals, and heavy metals, etc.) existing in more complex operating conditions of new application scenarios. Additionally, volatile organic compounds (VOCs) coexisting with NO x in exhaust gas has emerged as a critical factor further impeding the highly efficient reduction of NO x . Therefore, confronting the challenges inherent in current NH3-SCR technology and drawing from the established NH3-SCR reaction mechanisms, we discern that the strategic manipulation of the properties of surface acidity and redox over NH3-SCR catalysts constitutes an important pathway for increasing the catalytic efficiency at low temperatures. Concurrently, the establishment of protective sites and confined structures combined with the strategies for triggering antagonistic effects emerge as imperative items for strengthening the antipoisoning potentials of NH3-SCR catalysts. Finally, we contemplate the essential status of selective synergistic catalytic elimination technology for abating NO x and VOCs. By virtue of these discussions, we aim to offer a series of innovative guiding perspectives for the further advancement of environmental catalysis technology for the highly efficient NO x catalytic purification from nonelectric industries and motor vehicles.

Overview of Salt Cavern Oil Storage Development and Site Suitability Analysis

Salt cavern storage, characterized by its safety, stability, large scale, economic viability, and efficiency, stands out as a cost-effective and relatively secure method for large-scale petroleum reserves. This paper provides an overview of the current development status of salt cavern storage technologies both domestically and internationally, analyzes the advantageous conditions and numerous challenges faced by salt cavern Strategic Petroleum Reserve (SPR) storage in China, and forecasts the development trends of this technology. The conclusions indicate that China possesses all of the necessary conditions for the development of salt cavern storage. Moreover, utilizing the Analytical Hierarchy Process (AHP), a macro suitability hierarchical evaluation system is constructed for the site selection and construction of salt cavern storage facilities. This system quantifies various site selection indicators, integrating expert opinions and findings from relevant theoretical research to establish grading standards for the suitability indices of salt cavern storage construction. Applied to the site evaluation of salt cavern storage at the Jintan Salt Mine in Jiangsu, the results indicate its high suitability for storage construction, making it an ideal location for establishing such facilities. The evaluation results are consistent with expert opinions, demonstrating the rationality of this method.

Application of Big Data Technology in Network Information Security Issues

In recent years, the rapid development of China s economy and information technology has promoted the application of big data technology in computer information systems. However, there are still some issues in practical applications that need to be overcome. This paper summarizes experiences and studies the current application status and problems of big data technology in computer network information security, hoping to provide assistance for future practical work.

Technological status of prickly pear (Opuntia ficus-indica Mill.) fermentation to increase the protein value of its fodder

Objective: To analyze the state-of-the-art technology and the application of the fermentation process, in order to increase the protein value of prickly pear (Opuntia ficus-indica), as a source of fodder, in three technological levels. Design/Methodology/Approach: The technological parameters and mechanization level of three fermenters —employed to increase the protein value of prickly pear fodder— were characterized. The conceptual technical analysis was determined through quantitative and qualitative indicators, based on mathematical expressions and equations. Results: Quantitative indicators showed a fermentation technology with limited efficiency, which provides an opportunity for technical improvements. Findings/Conclusions: The application of fermentation technology results in significant savings in water, soil, and fertilizer resources. Furthermore, it provides an alternative for fodder production and food security for livestock in the semi-arid region of Mexico.

Current status and application of welding automation technology for bridge steel structure

Abstract In bridge construction, welding automation technology has become an indispensable and important technical means for developing related industries. The paper mainly introduces the current status of welding automation technology in bridge steel structures, elaborates on its existing technology from the control of welding deformation, U-frame welding process, robot welding technology, etc., and gives full play to the positive role of advanced steel structure welding automation technology, and forms a good working mode and technical system. The difficulties in welding are analyzed, which plays a role in promoting the development of welding automation technology for bridge steel structures.

Research status and application of artificial intelligence large models in the oil and gas industry

This article elucidates the concept of large model technology, summarizes the research status of large model technology both domestically and internationally, provides an overview of the application status of large models in vertical industries, outlines the challenges and issues confronted in applying large models in the oil and gas sector, and offers prospects for the application of large models in the oil and gas industry. The existing large models can be briefly divided into three categories: large language models, visual large models, and multimodal large models. The application of large models in the oil and gas industry is still in its infancy. Based on open-source large language models, some oil and gas enterprises have released large language model products using methods like fine-tuning and retrieval augmented generation. Scholars have attempted to develop scenario-specific models for oil and gas operations by using visual/multimodal foundation models. A few researchers have constructed pre-trained foundation models for seismic data processing and interpretation, as well as core analysis. The application of large models in the oil and gas industry faces challenges such as current data quantity and quality being difficult to support the training of large models, high research and development costs, and poor algorithm autonomy and control. The application of large models should be guided by the needs of oil and gas business, taking the application of large models as an opportunity to improve data lifecycle management, enhance data governance capabilities, promote the construction of computing power, strengthen the construction of “artificial intelligence + energy” composite teams, and boost the autonomy and control of large model technology.

Current status and construction scheme of smart geothermal field technology

To address the key problems in the application of intelligent technology in geothermal development, smart application scenarios for geothermal development are constructed. The research status and existing challenges of intelligent technology in each scenario are analyzed, and the construction scheme of smart geothermal field system is proposed. The smart geothermal field is an organic integration of geothermal development engineering and advanced technologies such as the artificial intelligence. At present, the technology of smart geothermal field is still in the exploratory stage. It has been tested for application in scenarios such as intelligent characterization of geothermal reservoirs, dynamic intelligent simulation of geothermal reservoirs, intelligent optimization of development schemes and smart management of geothermal development. However, it still faces many problems, including the high computational cost, difficult real-time response, multiple solutions and strong model dependence, difficult real-time optimization of dynamic multi-constraints, and deep integration of multi-source data. The construction scheme of smart geothermal field system is proposed, which consists of modules including the full database, intelligent characterization, intelligent simulation and intelligent optimization control. The connection between modules is established through the data transmission and the model interaction. In the next stage, it is necessary to focus on the basic theories and key technologies in each module of the smart geothermal field system, to accelerate the lifecycle intelligent transformation of the geothermal development and utilization, and to promote the intelligent, stable, long-term, optimal and safe production of geothermal resources.

Overview of research on intelligent swarm munitions

This article started with an overview of the current technological status and engineering developments in the field of swarm munitions. It first introduced swarm behaviors and related swarm algorithms, and then provided a comprehensive summary of the research progress in the field of swarm munitions from four aspects: Collaborative perception and detection, collaborative positioning and navigation, task allocation for swarms, and path planning for swarms. In summary, future developments in collaborative perception, planning, positioning, navigation, and decision-making for swarm munitions will trend towards intelligence, adaptability, and collaboration. It can enable swarm munitions to be better adapted to complex and dynamic battlefields, improving operational effectiveness and mission capabilities.

Research on the Application of Artificial Intelligence in The Teaching Reform of Ideological and Political Courses in Universities

The rapid development of artificial intelligence (AI) technology has brought new opportunities and challenges to the field of education. As an important link to cultivate students' comprehensive quality and socialist core values, it is necessary to carry out continuous teaching reform and innovation. Based on the idea of AI-enabled ideological and political course teaching reform, this study aims to explore how to use artificial intelligence technology to improve the teaching effect and learning experience of ideological and political course. This study first analyzes the application status of artificial intelligence technology in education, and then discusses the application potential of artificial intelligence in ideological and political courses. Then, it puts forward the teaching reform strategy of ideological and political course based on artificial intelligence, including the use of virtual reality technology, the application of intelligent auxiliary teaching tools to enhance personalized teaching, and the construction of intelligent learning management system. Finally, through case analysis, this paper discusses the effect of ideological and political teaching reform in colleges and universities. The results show that the application of artificial intelligence technology can effectively improve the teaching effect and learning experience of ideological and political courses, and provide new ideas and methods for the teaching reform of ideological and political courses in colleges and universities.

Current Status and Future Trends of Green Metallurgical Technology

Current Status and Future Trends of Green Metallurgical Technology

Engine-out hydrocarbon speciation and DOC reaction modeling for dual-fuel combustion concept

The concerns for global warming have pushed very harsh regulations on conventional propulsion systems based on the use of fossil fuels. New technologies are being promoted, but their current technological status needs further research and development to become a competitive substitute for the ever-present internal combustion engine. Transition technologies like hybrid-electric platforms are the preferred solution, but their dependence on the internal combustion engine demands continued developing and improving this technology. Advanced combustion modes like dual-mode dual-fuel combustion are attractive solutions with room for improvement. This work evaluates the specifics of the hydrocarbon composition emitted during the operation of a medium-duty dual-mode dual-fuel engine, analyzing the specific requirements of a diesel oxidation catalyst for this application. Also, the modeling approach of this after-treatment component is revised for this type of application, proposing a new approach and evaluating numerically the performance of a conventional diesel oxidation catalyst. The results show that the new modeling approach brings better accuracy when modeling the transient operation of the engine.

Review and Research Prospects on Additive Manufacturing Technology for Agricultural Manufacturing

Additive manufacturing (AM), also known as three-dimensional (3D) printing, is a manufacturing technology that constructs objects by sequentially adding material layer by layer. AM encompasses a range of different techniques capable of working with very different materials from metals and alloys to polymers and composites. As an advanced fabrication technology, AM is characterized by strong design flexibility, the ability to create intricate structures, and cost-effectiveness when compared to conventional fabrication methods. AM technology is widely employed in various sectors such as aerospace, healthcare, and industrial manufacturing, and its application is increasingly expanding into agricultural manufacturing. This study provides a comprehensive review and analysis of the current status of AM technology applied in the five main agricultural manufacturing aspects such as the application of AM technology in the manufacturing of agricultural equipment parts, its use in agricultural sensors, its role in the utilization of agricultural waste, its application in the field of plant growth mechanisms and in phytoremediation tissues. The current existing problems of AM technology and future development trends are also included to provide the implications for researchers. The adoption of AM technology in agriculture offers significant advantages, including enhanced production efficiency, cost reduction, innovation facilitation, and environmental protection. From initial prototyping to custom production today, AM technology provides more flexible, efficient and sustainable solutions for agricultural manufacturing. Especially in the fields of agricultural machinery, planting facilities and agricultural biomaterials, the application of AM technology has shown great potential and advantages. With the continuous advancement in technology and the reduction of costs, AM technology will become more popular and play a more vital role in agricultural manufacturing. In the future, we can foresee that AM will realize the manufacturing of agricultural products with higher precision, a more complex structure and more functions, providing more intelligent and personalized solutions for agricultural production. As such, it is emerging as a critical driving force in the advancement of precision agriculture.

Exploring the Path and Practice of Integrating Information Technology into Classroom Teaching in Vocational Colleges

With the rapid development of information technology, its application in the field of education is becoming increasingly widespread, bringing profound changes to classroom teaching in vocational colleges. The integration of information technology not only innovates teaching methods and enriches teaching resources, but also promotes the updating of educational concepts and the innovation of teaching models. This article aims to explore the path and practical methods of integrating information technology into classroom teaching in vocational colleges, comprehensively analyze the current application status of information technology in teaching, including its specific performance in improving teaching effectiveness, promoting student self-directed learning, and optimizing teacher-student interaction. Meanwhile, this article will propose specific implementation strategies based on the actual needs of vocational colleges, such as strengthening the construction of information technology infrastructure, cultivating teachers' information technology application abilities, and developing information technology teaching resources suitable for vocational education. Finally, this article will also look forward to the future development trend of information technology in classroom teaching in vocational colleges, in order to provide useful reference and inspiration for improving the quality of education and teaching in vocational colleges.

Review of Hydrogen-Driven Power-to-X Technology and Application Status in China

Review of Hydrogen-Driven Power-to-X Technology and Application Status in China

Research Trends and ‘Space-Sky-Ground-Underground’ Monitoring Technology Analysis of Landslide Hazard

Landslide is a typical geological disaster distributed in most countries worldwide. Due to long-term natural weathering and human engineering disturbances, the instability of landslides is prone to occur. Once monitoring and disposal methods are implemented inappropriately, they can lead to landslide hazards, seriously threatening the safety of people’s lives and property. For a long time, extensive research on landslide monitoring has been conducted from various countries, providing crucial technical support for reducing the incidence and severity of landslide hazards. However, considering the complex geological conditions of actual landslides and the direct impact of internal and external factors such as rainfall, storms, and earthquakes, the early warning accuracy of landslide hazards is still relatively low. Therefore, based on advanced research achievements, it is significant to carry out research on the current status and development trends of landslide monitoring technology. Based on the Web of Science core database, this study quantitatively analyzes the advanced research achievements in global landslide monitoring in the past decade using bibliometric analysis. A systematic analysis of landslide monitoring technology development is conducted according to each study’s publication time, keywords, and countries. On this basis, a multi-dimensional monitoring system for landslides was proposed, which utilizes the complementary advantages of multi-dimensional monitoring technology to achieve all-round, high-precision, and real-time monitoring of landslides. Finally, taking the Xinpu landslide in the Three Gorges Region of China as an example, a multi-source and multi-field-monitoring experiment was conducted. The application of landslide multi-field-monitoring technology provides an essential reference for monitoring, early warning, as well as the scientific prevention and control of landslide hazard.

Prognostics and Health Management Based on Next-Generation Technologies: A Literature Review

With the rapid development of science and technology, the integration and complexity of aerospace vehicles, weaponry, and large-scale chemical equipment are becoming higher and higher. PHM plays an important role in realizing reductions in equipment loss due to failures in many fields. In order to systematically sort through the research history of PHM and deeply analyze the development status of AR and DT technologies in the field of PHM, to clarify the current technical challenges and future development directions and to provide valuable references and insights for researchers, engineers, and decision-makers in the related fields, this paper summarizes the development of PHM in the engineering field. This paper summarizes the development of PHM in the field of engineering, from the initial PHM used in aerospace to the current PHM systems supported by various advanced technologies; analyzes the advantages and shortcomings of the digital twin and augmented reality technologies used for PHM; and organizes and summarizes the future directions and future research focuses of PHM research based on the existing technologies (mainly digital twins and augmented reality). After systematic research and study, we found that the integration of augmented reality and digital twin technologies will provide superb simulation capabilities and immersive operation and bring new challenges and opportunities. Therefore, it is also imperative to address the challenges and limitations that hinder the seamless integration of the new technologies.