Cigarette Factory Big Data Collection and Cleaning

Against the background of the current rapid development of industrial Internet technology, the integration and application of new-generation information technology is penetrating the cigarette manufacturing industry more and more closely. This study focuses on the big data acquisition and cleaning aspects of the production and manufacturing process in cigarette factories, aiming to collect production quality, and equipment data in real-time from diversified data sources, such as sensors, equipment logs, and quality inspection systems, by means of efficient data capture and preprocessing techniques. The study employs advanced data capture methods to ensure real-time and accurate data acquisition. Further, the quality and usability of the data were significantly enhanced by meticulous data cleaning steps, including de-weighting, error correction, and data completion. Clean data acquisition has a significant impact on optimizing production decisions, enhancing quality control, and accurate equipment maintenance in cigarette factories. With the advancement of data networking, cloud storage, and platform integration, the construction of a big data platform is particularly important, which provides a solid foundation for digital transformation and efficiency improvement in the cigarette manufacturing industry.