Badia-Melis Ricardo, Ruiz-Garcia Luis, Garcia-Hierro Javier, Villalba Jose I Robla
Departamento de Ingeniería Agroforestal, ETSI Agrónomos, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
Sensors Technology Laboratory, Centro Nacional de Investigaciones Metalúrgicas, Consejo Superior de Investigaciones Científicas (CENIM-CSIC), Avenida Gregorio del Amo 8, 28040 Madrid, Spain.
Sensors (Basel). 2015 Feb 26;15(3):4781-95. doi: 10.3390/s150304781.
Every day, millions of tons of temperature-sensitive goods are produced, transported, stored or distributed worldwide, thus making their temperature and humidity control essential. Quality control and monitoring of goods during the cold chain is an increasing concern for producers, suppliers, logistic decision makers and consumers. In this paper we present the results of a combination of RFID and WSN devices in a set of studies performed in three commercial wholesale chambers of 1848 m3 with different set points and products. Up to 90 semi-passive RFID temperature loggers were installed simultaneously together with seven motes, during one week in each chamber. 3D temperature mapping charts were obtained and also the psychrometric data model from ASABE was implemented for the calculation of enthalpy changes and the absolute water content of air. Thus thank to the feedback of data, between RFID and WSN it is possible to estimate energy consumption in the cold room, water loss from the products and detect any condensation over the stored commodities.
每天,全球都会生产、运输、储存或分销数百万吨对温度敏感的商品,因此对其温度和湿度进行控制至关重要。冷链中商品的质量控制和监测日益受到生产商、供应商、物流决策者和消费者的关注。在本文中,我们展示了在三个容积为1848立方米、设定点和产品不同的商业批发仓库中进行的一系列研究中,射频识别(RFID)和无线传感器网络(WSN)设备相结合的结果。在每个仓库中,在一周的时间里,同时安装了多达90个半被动式RFID温度记录器和七个传感器节点。获得了三维温度映射图,并实施了美国农业与生物工程师学会(ASABE)的湿度数据模型,以计算焓变和空气的绝对含水量。因此,借助RFID和WSN之间的数据反馈,可以估算冷藏室的能源消耗、产品的水分流失,并检测储存商品上的任何冷凝现象。