Within the paradigm of “Industry 4.0”, data collection and management acquire new relevance. In this context, the introduction of the Internet of Things (IoT) in the manufacturing field allows to develop information systems able to offer the possibility of using a large amount of data collected from heterogeneous sources in real time. The information thus obtained is functional not only to the attainment of an industrial development but also for evaluation and improvement of its sustainability. For example, the benefit obtainable for the life cycle assessment (LCA) methodology from the new digital configuration is represented by a greater specificity of data that wireless sensors networks (WSN) measure and transmit in a continuous way.

This paper explores the benefit of using a sensor for the evaluation of the environmental impact, in particular for LCA, in an Italian company producing chemical formulations. The machinery electric consumption directly measured data is compared with the same data estimated with mathematical models. It highlights how much different approach of data measurement and calculation can affect the LCA results. The detection of the energy variable related to a single machine for a particular process, which has been described in the paper, represents a first step towards the implementation of a WSN, proposed by Scatol8 srl, to be used to produce in a more sustainable way.

在“工业4.0”范式中，数据收集和管理获得了新的相关性。在这种情况下，在制造领域引入物联网（IoT）可以开发能够提供实时使用从异构源收集的大量数据的可能性的信息系统。这样获得的信息不仅对实现工业发展有作用，而且对评估和改善其可持续性也有作用。例如，新的数字配置可为生命周期评估（LCA）方法带来的好处体现为无线传感器网络（WSN）以连续方式测量和传输的数据具有更高的特异性。

本文探讨了在一家生产化学配方的意大利公司中，使用传感器评估环境影响（特别是对于LCA）的好处。将机械耗电量直接测量的数据与用数学模型估算的相同数据进行比较。它强调了数据测量和计算的不同方法会影响LCA结果的程度。本文中已描述了针对特定过程的与单个机器相关的能量变量的检测，这是Scatol8 srl提出的实施WSN的第一步，该过程将以更可持续的方式用于生产。