Gamification of Resource Consumption Monitoring of Products and Machines: A Cross-Platform and User-Friendly Approach

Lars Arnemann , Senad Lemes Galera , Sven Winter , Benjamin Schleich
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引用次数: 0

Abstract

The resource consumption of products and production processes, regarding energy and material, is the most important parameter in assessing economic and ecological sustainability. Existing approaches for measuring resource consumption calculate key performance indicators, such as the carbon footprint, from which actions can be derived. The data acquisition, processing, and visualization are usually complex and individually adapted to the products and production machines. This paper presents a method to capture the resource consumption of a product and production machine with low effort and in a targeted manner to calculate the carbon footprint subsequently. The approach's novelty lies in linking any sensor technology with a cross-platform application, integrating existing data sets, and incorporating gamification techniques. Gamifying the process, users engage more with the data, leading to higher awareness and deeper insights. The application offers an intuitive user interface displaying resource consumption by calculating the environmental impact of the production. The live data integration allows for immediate monitoring of the effect of adaptions to the production process, that helps to create a better understanding of contributions to resource consumption. The use of the application is highlighted in a case study of industrial complexity.

产品和机器资源消耗监控的游戏化:跨平台和用户友好型方法
产品和生产过程中的能源和材料资源消耗是评估经济和生态可持续性的最重要参数。现有的资源消耗测量方法可以计算出关键的性能指标,如碳足迹,并据此采取相应的行动。数据采集、处理和可视化通常都很复杂,而且要根据产品和生产设备进行单独调整。本文提出了一种方法,可以低成本、有针对性地获取产品和生产设备的资源消耗情况,并据此计算碳足迹。该方法的新颖之处在于将任何传感技术与跨平台应用程序相连接,整合现有数据集,并融入游戏化技术。将这一过程游戏化,用户就能更多地参与到数据中,从而获得更高的认识和更深的见解。该应用提供了一个直观的用户界面,通过计算生产对环境的影响来显示资源消耗情况。通过实时数据集成,可以立即监测生产流程调整的效果,有助于更好地了解对资源消耗的贡献。在一个工业复杂性案例研究中重点介绍了该应用程序的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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