Abstract: Taking tobacco warehouses of Shijiazhuang Cigarette Factory as the research object, big data analysis technology was introduced,temperature and humidity acquisition modules, functional modules, and development modules were programmed,an intelligent temperature and humidity control system for tobacco warehouses was designed,which achieved automatic calculation, intelligent judgment, and mobile alerting for temperature and humidity within warehouses,and regulation experiments for tobacco warehouse temperature and humidity were conducted. The results showed that the average response time for tobacco warehouse temperature and humidity regulation in the intelligent control system decreased from 93 s to 6 s,and the average effective adjustment rate increased from 68% to 100%. The system automatically calculated temperature and humidity inside warehouses,sent real-time alerts to mobile terminals when temperature and humidity reached warning thresholds,achieved 100% alarm accuracy, and realized intelligent management of temperature and humidity in tobacco warehouses,thereby improving equipment utilization rates.

Key words: big data analysis, tobacco warehouses, temperature and humidity, intelligent control system, design