Industry 4.0 towards Forestry 4.0: Fire Detection Use Case

Abstract

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.

Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0

“…Drones have also become more popular in the mining industry for 3D mapping, public safety [159], and management [160]. The combination of AI, digital twins and blockchain can play a vital role in improving industry 4.0 [161][162][163][164]. However, UAV computing with the above-mentioned technologies will make the developments of Industry 4.0 easier.…”

Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities

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“…IoT can also be a part of the solution to this phenomenon; more specifically, its application in this field is a topic widely researched and reported in the literature, and, therefore, it could serve as an example of implementation to present solutions in Colombia. For example, in [190][191][192], they used IoT devices with meteorological sensors (rain, temperature, humidity, wind speed, CO, CO 2 ) for the detection and prediction of forest fires, respectively, making timely decisions that help to preserve forests and jungles.…”