Abstract

The multi-layer indices decision-making of complex industrial processes is the key to reducing costs and improving production efficiency. With the development of the Industrial Internet, a large number of industrial streaming data and intelligent algorithms have brought opportunities for optimizing plant-wide production indices. However, due to the strong dynamic and coupling of the production process, the intelligent system based only on the optimization algorithm cannot give practical data analysis suggestions and decision results, so a human–computer interactive visual analysis and index decision system are urgently needed. This paper combines multi-layer indices decision-making algorithms with 3D digital twin visual analysis technology to propose an intelligent decision-making system for mineral processing production indices based on 3D digital twin interactive visualization (DTIV). The DTIV system provides users a 3D digital twin modeling view from the production park, workshop, and equipment scenes. It adopts visualization technology that seamlessly integrates 3D and 2D to help users obtain indices decision input information and hidden data features from real-time stream data with different spatiotemporal data characteristics. In addition, the DTIV system also combines a multi-layer indices optimization decision-making algorithms engine and designs a human–machine interaction indices decision interface and indices decision execution visual analysis interface to improve users’ production perception and decision-making ability. Through our collaboration with domain experts, carefully designed interviews, and prototype system evaluation in a beneficiation plant, the effectiveness and usability of the system have been proven.

Graphic Abstract

中文翻译：

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基于数字孪生交互可视化的选矿生产指标智能决策系统

摘要

复杂工业过程的多层指标决策是降低成本、提高生产效率的关键。随着工业互联网的发展，大量的工业流数据和智能算法为优化全厂生产指数带来了机会。然而，由于生产过程具有较强的动态性和耦合性，仅基于优化算法的智能系统无法给出实用的数据分析建议和决策结果，因此迫切需要一种人机交互的可视化分析和指标决策系统。本文将多层指标决策算法与3D数字孪生可视化分析技术相结合，提出一种基于3D数字孪生交互式可视化（DTIV）的选矿生产指标智能决策系统。 DTIV系统为用户提供生产园区、车间和设备场景的3D数字孪生建模视图。它采用3D和2D无缝融合的可视化技术，帮助用户从具有不同时空数据特征的实时流数据中获取指标决策输入信息和隐藏的数据特征。此外，DTIV系统还结合多层指标优化决策算法引擎，设计人机交互指标决策界面和指标决策执行可视化分析界面，提高用户的生产感知和决策能力。通过我们与领域专家的合作、精心设计的访谈以及选矿厂原型系统评估，该系统的有效性和可用性已得到证明。

图文摘要