Abstract We have developed a novel welding robot through three-dimensional visual localization, which can promptly correct deviations in the welding seam’s position and shape, thus improving the welding accuracy. This new welding robot can better meet customer demands and complete complex manufacturing processes faster. After multiple experiments, we found that the welding seam error correction technology based on three- dimensional visual localization significantly reduces welding... We have developed a novel welding robot through three-dimensional visual localization, which can promptly correct deviations in the welding seam’s position and shape, thus improving the welding accuracy. This new welding robot can better meet customer demands and complete complex manufacturing processes faster. After multiple experiments, we found that the welding seam error correction technology based on three- dimensional visual localization significantly reduces welding errors, there by substantially improving product quality and accuracy. Therefore, we recommend adopting this new error correction technology to enhance product quality. This research significantly benefits welding technology improvement, helping us better control welding seams and accurately predict future variations. As a result, we can ensure superior product quality, safety, and reliability. Read More Read Less

Abstract The decision tree algorithm is an efficient machine learning technique that can help us better assess the practicality of intelligent products. This paper explores the basic principles of the decision tree algorithm and proposes a series of effective evaluation methods combined with practical applications to achieve better results. Through experimental verification, the decision tree algorithm performs well in the practicality evaluation of intelligent products... The decision tree algorithm is an efficient machine learning technique that can help us better assess the practicality of intelligent products. This paper explores the basic principles of the decision tree algorithm and proposes a series of effective evaluation methods combined with practical applications to achieve better results. Through experimental verification, the decision tree algorithm performs well in the practicality evaluation of intelligent products (using clothing design as an example) and effectively addresses challenges in real-world applications. Therefore, the decision tree algorithm can serve as an effective tool to enhance the quality and competitiveness of product design for businesses. Read More Read Less

Abstract This paper investigates the module design of distributed electrical control systems. In view of the current situation, the paper elaborates on the development history of distributed electrical control systems, and analyzes their advantages and disadvantages from multiple perspectives. A complete architecture is proposed to meet user requirements, which includes modular architecture, optimized communication protocols, and rational data transmission strategies. Subsequently, each module’s purpose and... This paper investigates the module design of distributed electrical control systems. In view of the current situation, the paper elaborates on the development history of distributed electrical control systems, and analyzes their advantages and disadvantages from multiple perspectives. A complete architecture is proposed to meet user requirements, which includes modular architecture, optimized communication protocols, and rational data transmission strategies. Subsequently, each module’s purpose and operation principles are explored, covering distributed control, data transmission, data acquisition, and other related modules. Finally, experimental verification is conducted, and the results demonstrate the feasibility and scalability of the proposed design. This research is of great significance in improving the performance and reliability of electrical control systems and provides valuable references for engineering practices in related fields. Read More Read Less