Abstract: This systematic review aims to explore and synthesize the existing literature on defect detection methods in lithium batteries. With the increasing demand for reliable and efficient lithium batteries in various applications, ensuring their safety and performance through effective defect detection is critical. This review categorizes and evaluates different detection techniques, including electrochemical, non-destructive testing (NDT), electrical, acoustic emission, optical methods, and machine learning. The primary objective is to provide a comprehensive understanding of the current state of defect detection technologies, assess their effectiveness, and identify key challenges and future research directions. The review covers various defect types, including manufacturing, operational, and environmental defects, and discusses the methodologies used for defect detection, including their sensitivity, accuracy, speed, cost, and practicality. Additionally, the review highlights real-world applications, case studies, and the integration challenges of these technologies with Battery Management Systems (BMS). By examining these aspects, the review aims to offer valuable insights for researchers, manufacturers, and practitioners in the field of lithium battery technology. Key findings suggest that while significant advancements have been made, there remain substantial challenges, particularly in the areas of data acquisition, standardization, and integration with existing battery management systems. Future research should focus on improving the robustness, scalability, and cost-effectiveness of defect detection methods, as well as developing comprehensive regulatory frameworks to ensure the safe deployment of lithium batteries. Read More

Abstract: The integration of artificial intelligence (AI) technology into energy project management has emerged as a significant trend. This paper presents an extensive review and analysis of AI applications in this domain, emphasizing areas such as data analysis and prediction, intelligent optimization, risk management, and decision support systems. We systematically review the current literature, highlighting the critical role of AI in enhancing energy project management. Our discussion encompasses existing research outcomes and future development trajectories, aiming to furnish valuable insights and guidance for both research and practical applications in the field. Read More

Abstract: The energy sector faces significant challenges related to supply chain traceability, including issues with transparency, data integrity, regulatory compliance, and fraud prevention. Blockchain technology, with its decentralized, transparent, and immutable ledger, offers promising solutions to these challenges. This review explores the application of blockchain technology in enhancing supply chain traceability in the energy sector. It examines the potential benefits in terms of visibility, data integrity, compliance, and sustainability, and discusses real-world applications, challenges, and future directions. Case studies from renewable energy, fossil fuels, and smart grids illustrate blockchain's impact. Despite the promising benefits, technical, regulatory, and implementation challenges remain. Future research and development, along with supportive policy frameworks, are essential for realizing blockchain's full potential in transforming the energy supply chain into a more efficient, transparent, and sustainable system. Read More

Abstract: The study designed and assessed a solar-powered wastewater treatment system tailored for purifying agricultural wastewater in urban residential areas. Integrating advanced technologies, primarily solar energy-driven, the system aims to effectively remove pollutants to meet discharge standards. The detailed analysis included wastewater composition, sources and suitable treatment processes, with emphasis on comparative feasibility analysis and recommended quality assurance measures. The results of the study indicate that solar photocatalytic technology has great potential for degrading pollutants and reducing operating costs. The economic analysis showed that the technology is financially viable with a payback period of about 4.64 years. The photocatalytic system offers a higher level of efficiency and flexibility compared to existing methods. Emphasis is placed on implementing quality assurance to meet safety and environmental standards. Read More

Abstract: Matrix pores in coal reservoirs are important storage sites for adsorbed and free state CBM, and their adsorption amount is closely related to the development of pores and pore structure characteristics in coal. In this paper, coal samples from No. 3 coal seam of Chengzhuang coal mine were taken as the research object, and the microscopic morphology of coal matrix pore fissures was studied by scanning electron microscope. The results found that: in the coal samples of the study area, the pneumatic pores and dissolution pores are especially developed, and more fissures are developed at the same time due to the influence of tectonic action on the coal seam. The coal samples of Chengzhuang No.3 coal seam have many kinds of pore morphologies, mainly including round, wedge-shaped, triangular, slit-shaped and some irregular pores. The morphology, size and distribution of these pores have an important influence on the physical and chemical properties of the coal seam, which provides an important experimental basis for further research on the physical and chemical properties of coal seams and their roles in CBM adsorption, transportation and mining processes. Read More

Abstract: With the rapid development of microelectronics and intelligent technology, microcontroller units (MCUs) are increasingly applied in various fields. This paper proposes the design and implementation of an intelligent ultrasonic system based on a 51 microcontroller, integrating ultrasonic sensors, an LCD display, and a 51 MCU to achieve real-time distance measurement, data display, and intelligent control functions. The system utilizes a CD4069 ultrasonic sensor to transmit and receive ultrasonic waves, measuring the distance between the sensor and an object by calculating the time difference between transmission and reception. The measured distance data is processed and displayed on an LCD screen in real-time. Furthermore, the system features intelligent control capabilities, automatically adjusting and controlling devices based on the measured data, thereby enhancing the system's level of intelligence. The intelligent ultrasonic system based on the 51 microcontroller offers advantages such as low cost, high precision, and strong versatility. It can be widely used in various fields, including intelligent robots, obstacle avoidance systems, and automatic parking systems. The design and implementation of this system not only demonstrate innovative applications of ultrasonic ranging technology but also provide valuable references for the extensive application of microcontroller units in intelligent technology fields. Read More

Abstract: The streets, large and small, are full of street lights, which light up the way home when night falls. But tens of thousands of street lamps consume a lot of energy. The non-renewable energy on the earth is limited, so in order to protect our earth and enable the sustainable development of the earth, this paper designs and develops an intelligent street lamp system driven by new energy sources. Different from the traditional single power supply mode, the street lamp mentioned in this paper uses solar energy, wind energy and ceramic piezoelectric machinery to provide electricity to the street lamp. Solar power is generated when the sun is full, and wind power is generated when there is no sun. The mechanical energy of a car passing through piezoelectric ceramics can also be used to generate electricity in special weather conditions when there is no wind or sunshine. A variety of power generation methods have solved the malpractice of new energy source street lamps relying on weather conditions. And the system can display the power of the storage battery in real time, and light it automatically when night falls. It is an efficient multi-source drive intelligent new energy street lamp. Read More