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Automatic Perishable Goods Shelf Life Optimization in No-Refrigerated Warehouses by Using a WSN-Based Architecture

机译:使用基于WSN的体系结构的自动冷藏库中的易腐货物保质期优化

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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.
机译:为了改善易腐货物的货架寿命(SL),提供一种通用解决方案,该方案可将因不小心存放而造成的浪费降至最低,在此提出了一种用于功能性仓库管理的基于低成本和可重编程无线传感器网络(WSN)的体系结构。该体系结构连续监视环境参数(即温度,光和湿度),并将其组合以用于产品SL的时空预测。这些参数通过一阶动力学模型进行处理,并考虑到存储位点区域,从而确定使SL最大化的位置。该系统通过一组自动化的跨托盘管理托盘位置。这里提供了所提出的体系结构的概念的实验证明,相对于具有静态管理的典型体系,比较了所提出的蔬菜存储体系。

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