Hybrid modelling framework development: Closing the knowledge gap by combining empirical and fundamental models

该项目将侧重于制定一个框架，用于开发包含经验和混合组成部分的混合模型。该框架将联合收割机最好的完全预测的第一原理模型与数据驱动的方法相结合，以处理工业应用和底层机制知之甚少的情况。该框架将在宝洁公司的各种应用中得到应用，包括美容包装中的香水稳定性，婴儿护理中的气动输送，干洗业务中的团聚规模，以及可溶性单位剂量，液体洗衣，手碟和美容业务中的表面活性剂糊剂混合和溶解。该框架的成功将在两个应用程序中得到证明，其中一个应用程序由宝洁公司选择，并与宝洁公司直接相关。

This project will focus on the development of a framework for developing hybrid models which contain empirical and hybrid components. This framework will combine the best of completely predictive first principles models with data driven approaches to deal with industrial applications and situations in which the underlying mechanisms are poorly understood. The framework would find applications within P&G in a variety of applications incuding perfume stability in packaging in Beauty, pneumatic conveying in Baby Care, agglomeration scale up in our Dry Laundry business, and surfactant paste blending and dissolution in our Soluble Unit Dose, Liquid Laundry, Hand Dish and Beauty businesses. The success of the framework will be demonstrated in two applications, one selected by and being of direct business relevance to P&G.