Abstract
Aiming to improve the perishable goods shelf life (SL) providing a generalized solution that minimizes the waste due to not careful storing, a low cost and reprogrammable Wireless Sensors Network (WSN) based architecture for the functional warehouse management is here proposed. The architecture continuously monitors environmental parameters (i.e., temperature, light and humidity), combining them for the spatio-temporal prediction of the product SL. These parameters are treated by a 1st order kinetic model, taking into the account the storage site area, identifying the position that maximizes the SL. The system manages the pallets positions by a set of automated trans-pallets. An experimental proof of concept of the proposed architecture is here provided, comparing the presented system in the storage of vegetables with respect to a typical one with static management.
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De Venuto, D., Mezzina, G. (2019). Automatic Perishable Goods Shelf Life Optimization in No-Refrigerated Warehouses by Using a WSN-Based Architecture. In: Saponara, S., De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2018. Lecture Notes in Electrical Engineering, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-030-11973-7_33
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DOI: https://doi.org/10.1007/978-3-030-11973-7_33
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