Industry 4.0 beyond the Factory: An Application to Forestry

Reitz, Jan; Schluse, Michael; Roßmann, Jürgen

doi:10.1007/978-3-662-59317-2_11

Cited by 15 publications

(12 citation statements)

References 6 publications

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“…The wood resource is from the forest, making forestry important for economic, cultural, and ecological. Based on industry 4.0, the authors of [30] introduced the concept of forestry 4.0. they showed the implementation of forestry 4.0 with multi-domain systems. The authors of [31] discussed the advantages and limitations of using IoT for wood processing in industry.…”

Section: Related Workmentioning

confidence: 99%

“…However, many studies have been done in connecting industry 4.0 and forestry 4.0 with the help of advanced technologies such as IoT, Artificial intelligence, robots, vehicles and etc. [37], industry 4.0 application to forestry [30], wood processing [31], digitization in wood supply [38]. The authors of [39] discussed Internet of improving the forest sustainability.…”

Section: Related Workmentioning

confidence: 99%

“…Furthermore, Forestry 4.0 technical realization involves connecting wood resources, data sets, existing and new hard and software components, and stakeholders into a novel IoT, Services, and People in forestry [30]. Based on the manufacturing industries experience with Industry 4.0, Forestry 4.0 concept has been launched by FPInnovations (https://web.…”

Section: Related Workmentioning

confidence: 99%

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Industry 4.0 towards Forestry 4.0: Fire Detection Use Case

Sahal

Alsamhi

Breslin

et al. 2021

Sensors

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Forestry 4.0 is inspired by the Industry 4.0 concept, which plays a vital role in the next industrial generation revolution. It is ushering in a new era for efficient and sustainable forest management. Environmental sustainability and climate change are related challenges to promote sustainable forest management of natural resources. Internet of Forest Things (IoFT) is an emerging technology that helps manage forest sustainability and protect forest from hazards via distributing smart devices for gathering data stream during monitoring and detecting fire. Stream processing is a well-known research area, and recently, it has gained a further significance due to the emergence of IoFT devices. Distributed stream processing platforms have emerged, e.g., Apache Flink, Storm, and Spark, etc. Querying windowing is the heart of any stream-processing platform which splits infinite data stream into chunks of finite data to execute a query. Dynamic query window-based processing can reduce the reporting time in case of missing and delayed events caused by data drift.In this paper, we present a novel dynamic mechanism to recommend the optimal window size and type based on the dynamic context of IoFT application. In particular, we designed a dynamic window selector for stream queries considering input stream data characteristics, application workload and resource constraints to recommend the optimal stream query window configuration. A research gap on the likelihood of adopting smart IoFT devices in environmental sustainability indicates a lack of empirical studies to pursue forest sustainability, i.e., sustainable forestry applications. So, we focus on forest fire management and detection as a use case of Forestry 4.0, one of the dynamic environmental management challenges, i.e., climate change, to deliver sustainable forestry goals. According to the dynamic window selector’s experimental results, end-to-end latency time for the reported fire alerts has been reduced by dynamical adaptation of window size with IoFT stream rate changes.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Industry 4.0 towards Forestry 4.0: Fire Detection Use Case

Sahal

Alsamhi

Breslin

et al. 2021

Sensors

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“…One field of application is the forestry and timber industry. It offers a multitude of different stakeholders and a heterogeneous structure [12]. In addition to forest rangers, forest workers and forest owners, facilities such as sawmills and forest machine manufacturers operate in the cluster.…”

Section: Applicationmentioning

confidence: 99%

A multi-domain networking infrastructure enabling the situation-specific choreography of decentralized things

Gebhard

Schluse

Hoppen

et al. 2020

Annals of Scientific Society for Assembly, Handling and Industrial Robotics

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The Internet of Things (IoT) is a network between physical and virtual things, software services and people. The specific services these things offer to set up value-added chains are provided by the computer resources they use -like cloud computing for computationally intensive tasks or edge computing for real-time processing. Concepts such as the Digital Twin enable things to operate autonomously and connect independently. This leads to self-initiated systems which require the development of new infrastructure concepts to combine different computer resources and various Digital Twins. This paper proposes the Smart Systems Service Infrastructure (S 3 I) -a multi-domain networking infrastructure which allows things to choreograph themselves situationspecifically in highly decentralized and dynamic environments.

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“…However, there is still a wide range of applications in the timber industry, mainly for drying technology. Research on the spatial variation of kiln variables can bring to light methods capable of generating reliable and sufficient data, to the point of promoting robust simulations of spatial behavior, such as "Digital Twins" (Reitz et al 2019), which may provide real-time responses on particularities of the drying process. Thus, this study aimed to evaluate the spatial distribution of the air circulation speed (ACS) and the final moisture content (FMC) of pine lumbers after kiln drying using the geostatistical method.…”

Section: Introductionmentioning

confidence: 99%

Lumber drying of Pinus: Geostatistics applied to drying kilns

Schaeffer¹,

Monteiro

Klitzke

et al. 2022

Maderas, Cienc. tecnol.

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This study aimed to evaluate the spatial distribution of the air circulation speed and the final moisture content of pine lumber after kiln drying by using geostatistics. Two kilns acting on boards of 27 mm and 42 mm were evaluated. Air circulation speed and final moisture content were collected in different regions of the kilns. There was no significant difference for air circulation speed and final moisture content between the front and rear regions of the equipment. In the horizontal axis (Y-axis), air circulation speed averages did not differ statistically in both situations, but higher values for this variable were obtained from the spaces between the piles. Final moisture content tended to increase when closer to the door opening. In the vertical axis (Z-axis), the lower part tended to reach higher air circulation speed values. Thus, the spatial behavior influences the air circulation speed and final moisture content during lumber drying. Besides, the variograms presented the same tendency in comparison to the data obtained in a conventional manner, which indicates that geostatistics can be used to represent variables in kilns during the drying process.

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Industry 4.0 beyond the Factory: An Application to Forestry

Cited by 15 publications

References 6 publications

Industry 4.0 towards Forestry 4.0: Fire Detection Use Case

Industry 4.0 towards Forestry 4.0: Fire Detection Use Case

A multi-domain networking infrastructure enabling the situation-specific choreography of decentralized things

Lumber drying of Pinus: Geostatistics applied to drying kilns

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