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首页> 外文会议>International Federation for Information Processing WG 5.1 international conference on product lifecycle management >Deriving Information from Sensor Data: A General Approach for the Introduction of IoT Technologies for Field Data Analysis in Complex Technical Systems
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Deriving Information from Sensor Data: A General Approach for the Introduction of IoT Technologies for Field Data Analysis in Complex Technical Systems

机译：从传感器数据中获取信息：引入物联网技术以在复杂技术系统中进行现场数据分析的通用方法

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摘要

Not least because of the triumph of different IoT technologies, the uptake of sensor data during the use phase of complex technical systems has become mandatory. These data, especially in combination with additional field data, promise to improve the technical management of systems. Various concepts have also been developed to determine the usefulness of returning the data to product development. Regardless of whether the use of the field data analysis is carried out within the utilisation phase or over phase boundaries, it is also a great challenge to process the data in such a way that information and action-oriented knowledge are generated. The consolidation of results from different analyses to uniform priorities of systems and system components is crucial for the management of systems, for example with regard to decision support. Therefore, an approach is presented and discussed in order to support the systematic combination of methods for sensor field data evaluation. This includes both a general approach model and a corresponding system architecture both on a methodology level. This approach is illustrated by an example and leads to the conclusion that multiple analyses of sensor series using different methods together lead to more reliable information on system components. With regard to the summary of the contribution, the approach shows great potential for the faster introduction of field data analyses in companies, but further developments are required for the selection of the individual methods as well as for the data compaction itself.
机译：尤其是由于各种物联网技术的胜利，在复杂技术系统的使用阶段对传感器数据的获取已成为强制性的。这些数据，尤其是与其他现场数据结合使用，有望改善系统的技术管理。还开发了各种概念来确定将数据返回到产品开发的有用性。不管是在利用阶段内还是在阶段边界内进行现场数据分析，使用以产生信息和面向行动的知识的方式处理数据也是一个巨大的挑战。将来自不同分析的结果合并到系统和系统组件的统一优先级对于系统管理（例如，在决策支持方面）至关重要。因此，提出并讨论了一种方法，以支持传感器场数据评估方法的系统组合。这既包括通用方法模型，也包括方法论级别的相应系统体系结构。通过示例说明了该方法，并得出结论，即使用不同方法对传感器系列进行多次分析，可以得出有关系统组件的更可靠信息。关于贡献的摘要，该方法显示了在公司中更快地引入现场数据分析的巨大潜力，但是需要进一步的发展以选择单个方法以及数据压缩本身。

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