Tobacco supply is affected by many factors such as climate, yield, transportation and import and export trade policies. In order to ensure stable yield and quality of products, it is necessary to continuously explore alternative tobacco leaves and realize the stability and self-control of the tobacco group formula. The characteristics of individual tobacco leaves are numerous, and it is necessary to match tobacco leaves from different origins, varieties and grades in the process of making tobacco formulations. The traditional analysis of alternative tobacco leaves is mainly done through repeated attempts and scoring by the assessor, relying on manual experience to judge the pairs of tobacco leaves that are close to each other in terms of taste, with low efficiency and accuracy.
Tobacco formula digital auxiliary design system establishes a perfect tobacco database, integrates the data of tobacco raw materials, formulas, additives, etc., provides the basic data support, and based on the relevant theories of tobacco formula design, combines with the enterprise's own production reality, designs the product formula that meets the market demand and the enterprise's requirements. Through the combination of computer simulation and experimental verification, it aids in evaluation and optimization.
Tobacco data is not systematically saved, making it difficult and incomplete to view historical data.
Tobacco substitution is assessed manually, which is inefficient, heavy workload and inaccurate.
New product development is based on manual experience, which leads to unstable quality of new cigarettes and unqualified smoke and nicotine indicators.
The optimal mellowing period of the tobacco to be put into use is not clear, and the workload of manual assessment is large and inefficient.
Systematize the display of tobacco data, through the continuous accumulation of data, algorithmic recommendations to promote the stability of cigarette products, single material tobacco data and leaf group formula data at a glance through the system.
Narrow down the number of experimental formula samples through the system recommendation to improve the efficiency of formula engineers.
The system will accurately assist engineers in dynamically tracking the optimal mellowing period for tobacco raw materials, and put the tobacco in production during the optimal mellowing period to ensure efficient, stable and high-quality product production.
Provide scientific and efficient support for formulators to carry out leaf group formulation work, and improve work efficiency by 70%.
Accurately predicts the flue gas indexes of alternative leaf groups, with an accuracy rate of more than 95%.
Improve the level of homogenization processing and achieve good traceability.
Realize the integration of the whole life cycle data of cigarette products, systematically construct 8 kinds of basic models of tobacco characteristics, 3 kinds of auxiliary design models and business logic libraries, and promote the continuous iteration and optimization of product formula design.
Grandhoo