Different scenarios for model linking structures are considered, including simultaneous processing of multiple models, sequential processing of life-cycle-specific models, and predictive models, based on data from the current and previous life cycles. The wrappers connect the in- and outputs of models to the streaming platform and, thus, require only minor changes to the model software. Our new approach provides a set of generic “wrapper functions”, which largely simplify model integration. Based on previous tests for monitoring and predicting banana fruit quality along the cool chain, we demonstrate how a system of multiple models can be converted into a DT.
Digital twins (DTs) provide platforms to display sensor data in real time but still lack generic solutions regarding how mathematical models and algorithms can be integrated. Analog sensors often require complex mathematical models for data analysis.
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