Wireless monitoring concept for logistic systems

Dolha, Stelian-Ilie

doi:10.1109/saci.2011.5872995

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Hence, the incidence of temperature anomalies can significantly influence the quality of highly perishable products [21]. In conventional cold chain management systems, vehicles and warehouses are often equipped with thermometers and humidity sensors [23,24]. However, this approach cannot dynamically communicate the information with remote users and can only display and record environmental information locally [25].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Anomaly Detection in Cold Chain Transportation Using IoT Technology

et al. 2023

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There are approximately 88 million tonnes of food waste generated annually in the EU alone. Food spoilage during distribution accounts for some of this waste. To minimise this spoilage, it is of utmost importance to maintain the cold chain during the transportation of perishable foods such as meats, fruits, and vegetables. However, these products are often unfortunately wasted in large quantities when unpredictable failures occur in the refrigeration units of transport vehicles. This work proposes a real-time IoT anomaly detection system to detect equipment failures and provide decision support options to warehouse staff and delivery drivers, thus reducing potential food wastage. We developed a bespoke Internet of Things (IoT) solution for real-time product monitoring and alerting during cold chain transportation, which is based on the Digital Matter Eagle cellular data logger and two temperature probes. A visual dashboard was developed to allow logistics staff to perform monitoring, and business-defined temperature thresholds were used to develop a text and email decision support system, notifying relevant staff members if anomalies were detected. The IoT anomaly detection system was deployed with Musgrave Marketplace, Ireland’s largest grocery distributor, in three of their delivery vans operating in the greater Belfast area. Results show that the LTE-M cellular IoT system is power efficient and avoids sending false alerts due to the novel alerting system which was developed based on trip detection.

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Section: Introductionmentioning

confidence: 99%

Real-Time Anomaly Detection in Cold Chain Transportation Using IoT Technology

et al. 2023

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“…WSNs seems a suited technology, while passive components on the other side are heavily used in storage systems for product identifications and inventory systems. These are mainly based on BCS (bar code systems) or radio frequency identification systems, RFID [6].…”

Section: Introductionmentioning

confidence: 99%

Intelligent and cooperative environments via internet of sensors: Perspectives and case study analysis

Chiti

Fantacci

2013

2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)

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This paper deals with the application of the so called Internet of Things paradigm to the setting up of intelligent and cooperative environments. In particular, it focuses on the management of wide area Wireless Sensor Networks comprised of objects belonging to the logistic domain with the aim of transparent managing them. The IPv6 global addressing is applied allowing the dynamic tracking, information upload and retrieval and nodes management, while coping with inherent mobility. The proposed solution has been adopted in a real world case study, pointing out flexibility and responsiveness.

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Wireless sensor network for real-time perishable food supply chain management

Wang

et al. 2015

Computers and Electronics in Agriculture

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Wireless monitoring concept for logistic systems

Cited by 4 publications

References 2 publications

Real-Time Anomaly Detection in Cold Chain Transportation Using IoT Technology

Real-Time Anomaly Detection in Cold Chain Transportation Using IoT Technology

Intelligent and cooperative environments via internet of sensors: Perspectives and case study analysis

Wireless sensor network for real-time perishable food supply chain management

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