New Progress in Artificial Intelligence Algorithm Research Based on Big Data Processing of IOT Systems on Intelligent Production Lines

Abstract

Intelligent production line is the abbreviation of intelligent production line. Intelligent production line refers to a form of production organization that uses intelligent manufacturing technology to realize the production process of products. The actual manufacturing process includes different levels and links, and each step cooperates to create a high-efficiency production line. The intelligent production line includes 3 levels covering automation equipment, digital workshops, and intelligent factories and runs through 6 major links of intelligent manufacturing (intelligent management, intelligent monitoring, intelligent processing, intelligent assembly, intelligent inspection, and intelligent logistics). The emergence of the Internet of Things system has changed the way of information dissemination. The system combines radio frequency automatic identification and global positioning system technologies to achieve functions such as information exchange and processing, enabling information processing to be intelligent and improving resource utilization. Big data processing includes multiple data processing procedures, but data quality is the most important link in the entire process, and each data processing link will have an impact on the quality of big data. The big data processing process mainly includes data collection, data preprocessing, data storage, data processing and analysis, data display, data visualization, data application, and other links. This article aims to study the new progress of artificial intelligence algorithms for big data processing of IOT systems on intelligent production lines. It is hoped that through the development of intelligent production lines and big data processing technologies, ways to optimize artificial intelligence algorithms can be found. This study proposes a metadata replication method based on a separate replication strategy, which separates the replication process of the data operation log, each is independent, and shortens the data replication time. Combining the existing intelligent production line network platform in the laboratory and carrying out the research of the intelligent production line network state prediction system based on the neural network to design a network prediction system can prejudge the operation status of the intelligent production line network. The experimental results in this article show that when the Namenode mode is used to read data and when the number of clients reaches 8, the data processing basically remains unchanged. When the NCluster system reads data and when the number of clients is 6, the data is processed 1256. When the number of clients is 20, the data is processed 2100, the NCluster system will remain stable when the number of clients reaches 12, and compared with the Namenode system, it has obvious advantages.

Intelligence level evaluation and influencing factors analysis of equipment manufacturing industry in the Yangtze River Delta

“…They can’t depend entirely on themselves to transform and upgrade, so they must have advanced foreign intelligence technology and intelligence equipment. Therefore, they have higher cost pressures, these findings are similar to those of Shi et al, [ 70 ]. However, to maintain market competitiveness, they will continuously improve the LoI by improving the production chain, increasing high-tech personnel, increasing research and development investment and other ways.…”

Application progress of artificial intelligence and augmented reality in orthopaedic arthroscopy surgery

“…Artificial intelligence is abbreviated as AI, and its principle can be roughly summarized as combining a large amount of data, mighty computing power and intelligent algorithms to build models that solve specific problems, enabling programs to automatically learn potential patterns or features from the data, thus achieving a thinking process similar to humans [7]. Augmented reality (AR) utilizes computer graphics and visualization technology to generate virtual objects that do not exist in the real world and accurately place them in the real world, presenting users with a new environment with richer perception [8].…”

Application of digital-intelligence technology in the processing of Chinese materia medica

“…The online detection technology, Internet digital technology and artificial intelligence control technology are running through the automatic processing equipment and production line. The computer information management system of drug processing and the digital intelligent production line of Chinese medicine decoction pieces can be established ( Shi et al, 2022 ). The establishment of a standardized system of processing equipment and processing parameters is the key factor to promote the modernization of Chinese medicine decoction pieces.…”

“…The combination of digital intelligence technology and the equipment system of purification, cutting and processing, including washing machine, screening machine, cutting machine, stir-frying machine, and boiling pot, gradually establish a production line of Chinese medicine processing equipment in line with the characteristics of produced Chinese medicine with appropriate integration and automation. Follow the ancient processing technology, combined with modern digital intelligence technology and new intelligent processing equipment, a production line with high efficiency, energy saving, continuous production and controllable quality may be created to improve the manufacturing level of Chinese botanical drugs industry, and to accelerate the transformation of traditional Chinese decoction pieces industry to digital intelligence ( Shi et al, 2022 ; Zhu et al, 2022 ).…”