Industrial process plants have a lifecycle of several decades, and only some of the most modern plants have digital, machine-readable design information available. For all other plants, the information is often available in PDF and other human-readable formats. Based on this information, a digital twin could be constructed only with considerable human effort. There is a need for a methodology for the semi-automatic generation of digital twins for brownfields with such source information. The objective of this paper is to propose a roadmap towards a methodology for the semi-automatic generation of digital twins for brownfields with such source information as can be expected to be available for brownfields. The purpose of the roadmap is to: conceptualize the methodology, position relevant previous work along this methodology and identify further research challenges to develop the industrial applicability of the methodology. It was discovered that numerous relevant works exist, some of which do not specifically address brownfields. However, there is a lack of research to integrate such research to a methodology for the generation of digital twins.

工业加工厂的生命周期为几十年，只有一些最现代化的工厂拥有数字、机器可读的设计信息。对于所有其他工厂，这些信息通常以 PDF 和其他人类可读格式提供。基于这些信息，数字孪生只能通过相当多的人力来构建。需要一种方法来为具有此类源信息的棕地半自动生成数字孪生。本文的目的是提出一个路线图，用于半自动生成棕地数字孪生的方法，其中包含预计可用于棕地的源信息。路线图的目的是： 概念化方法论，沿着该方法定位相关的先前工作，并确定进一步的研究挑战，以开发该方法的工业适用性。发现存在许多相关作品，其中一些没有专门针对棕地。然而，缺乏将此类研究与生成数字孪生的方法相结合的研究。