The view on systems monitoring and its requirements from future Cloud-to-Thing applications and infrastructures

Volpert, Simon; Eichhammer, Philipp; Held, Florian; Huffert, Thomas; Reiser, Hans P.; Domaschka, Jörg

doi:10.1016/j.future.2022.11.024

Cited by 6 publications

(3 citation statements)

References 35 publications

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“…Cloud-based IoT solutions enable real-time data processing and analysis, streamlining operations, resource management, and efficiency. Volpert et al (2023) examined how cloud infrastructure affects IoT adoption and efficiency. Cloud-based IoT solutions provided seamless data exchange among stakeholders, better route planning, and improved fleet management, improving operational efficiency and productivity.…”

Section: Cloud Infrastructure As a Mediatormentioning

confidence: 99%

The Impact of Industrial Internet and the Digital Economy on the Management and Development of Manufacturing Information Systems Triggering Digitization as IoT and Artificial Intelligence

Li,

Ren

2023

J INFORM SYSTEMS ENG

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Technology adoption is crucial to organizational performance in the fast-changing digital world. Due to their potential to boost efficiency, productivity, and competitiveness, disruptive technologies including data analytics, the Internet of Things (IoT), and information system integration have received attention. This study examined how IoT adoption, data analytics, and information system integration affect organizational efficiency, productivity, and competitive advantage. The study also examined how cybersecurity, cloud infrastructure, and organizational culture mediate the technology-adoption-performance relationship. Quantitative research was conducted using Amos. A diverse sampling of enterprises provided data. Structural equation modelling (SEM) examined direct and indirect impacts by analyzing variable connections. IoT usage, data analytics, and information system integration improved organizational efficiency, productivity, and competitive edge. The study also showed that cybersecurity and cloud infrastructure mediate technology adoption and organizational results. Organizational culture moderated the effect of technology adoption on performance. This study added to the technology adoption literature by examining how IoT adoption, data analytics capabilities, and information system integration affect organizational efficiency, productivity, and competitive advantage. Cybersecurity, cloud infrastructure as mediators and organizational culture as a moderator helped us understand technology adoption and performance results.

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Section: Cloud Infrastructure As a Mediatormentioning

confidence: 99%

The Impact of Industrial Internet and the Digital Economy on the Management and Development of Manufacturing Information Systems Triggering Digitization as IoT and Artificial Intelligence

Li,

Ren

2023

J INFORM SYSTEMS ENG

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“…Shipping may seem straightforward, but many products, pharmaceuticals, and industrial goods require specialized temperature-controlled shipping, including refrigerated containers, to ensure product quality. During container transportation, a specific temperature regime is needed, and deviations from the specified norms, such as interruptions in the power supply of refrigerators or container/equipment malfunctions, can lead to cargo spoilage and severe losses for companies [3][4][5]. It should be noted that there have been cases of unscrupulous drivers intentionally disconnecting refrigerators from the power supply to save fuel.…”

Section: Disadvantagesmentioning

confidence: 99%

“…In particular, intelligent temperature monitoring systems for refrigerated containers are becoming increasingly important [2][3]. A refrigerated container is equipped with a refrigeration unit and is commonly used for transporting goods over long distances that require storage and transportation at specific temperatures, such as food products with a short shelf life and other goods that require particular conditions during a long journey while retaining their properties [4][5]. Developing a real-time system of this class is essential for avoiding cargo spoilage and significant losses for companies and enabling carriers to respond quickly to temperature deviations.…”

Section: Introductionmentioning

confidence: 99%

Intelligent System of Temperature Monitoring in Refrigerated Containers

Vlakh-Vyhrynovska,

Dzelendzyak,

Ivanyuk

et al. 2023

MEM

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The work emphasizes the importance of maintaining a consistent temperature while transporting temperature-sensitive goods in the logistics cold chain. Refrigerated transportation plays a critical role in this chain, and the safe and efficient transport of perishable goods, such as food or pharmaceuticals, heavily relies on maintaining appropriate temperature levels. Real-time temperature monitoring and timely response to deviations are vital to prevent spoilage and financial losses. This paper presents an intelligent temperature monitoring system that employs a WiFi-enabled IoT platform NodeMCU-ESP32 to collect real-time temperature data, which is then transmitted to the AWS cloud platform. The system uses machine learning algorithms to predict temperature deviations and sends alerts to relevant stakeholders via the Telegram messaging service. The system architecture comprises AWS services, including API Gateway, IAM, Lambda, DynamoDB, and SNS, offering a scalable, secure, and cost-effective temperature monitoring solution.

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