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<\/a><\/div>\n\n\n\nCondensing sensor data into process information<\/h2>\n\n\n\n
From a technical point of view, SID are electronic components that combine raw data or processed data from the sensors on a machine, combine and condense it into process-relevant information and thus allow statements to be made about the manufacturing and processing quality of a product. SIDs are also used to monitor and adjust production processes in real time and to optimize them in terms of product quality, safety, infrastructure or resource utilization. <\/p>\n\n\n\n
Reduction of sensor data saves costs<\/h2>\n\n\n\n
Usually, the condition data recorded by sensors, such as temperature, pressure or vibration, but also quality characteristics such as pores or cracks in a casting or the press hardness of a material, flow into an MES or an IoT solution, where they are correlated into business-relevant information. The result is a permanent stream of data that is energy-intensive and therefore costly, and at the same time a huge and constantly growing volume of data - big data, in other words - that requires enormously large and expensive storage capacities.<\/p>\n\n\n\n