# Industry 4.0 towards Forestry 4.0: Fire Detection Use Case +
## 2 Related Work
In particular, the authors has proposed ABSAD approach to select fault-relevant sub-spaces and then detect online faults stream with time-varying characteristics using sliding window. For IoT forest environmental monitoring, the researchers at Northeast Forestry University have researched a networking based intelligent platform by using the ZIGBEE protocol to monitor their forest environmental factors in time with the new IoT technology [6]. The ZIGBEE-based networking technologies has the advantages of low power dissipation, low data rate, and high-capacity transportation, which makes it more suitable for the design of the node of the forest environmental factors collection platform. In the context of forest fire management, the research works are over-viewed in terms of the satellite systems, optical cameras, and wireless sensor networks detection techniques [24]. The author has discussed several research experiment results and some market product methods for better understanding the fire detection technique stated that each technique has its advantages and disadvantages in terms of efficiency, accuracy, versatility, and other key attributes. [PERSON] et al. have proposed a fuzzy prediction algorithm implemented by rechargeable wireless sensor network to assess fire risk and calculated the quantitative potential fire risk [25]. The authors studied the weather variables including temperature and humidity as input of the proposed fuzzy prediction using 24-h monitoring of whether meteorological factors. They concluded that it is difficult to predict the occurrence of forest fires accurately. In the field of IoT-based applications and fire management, [PERSON] et al. have designed a wireless sensor network using multiple sensors for early detection of house fires [26]. The authors have used the Global System for Mobile Communications (GSM) to avoid false alarms and they have tested their system by simulating a fire in a smart home using Fire Dynamics Simulator. For the IoT-based forest fire detection, the proposed work in [27] provides new improvements such as the use of innovative IoT technologies and a data treatment focused on the prevention, detection, activation of alarms and management of operations for the extinction of fires. The authors have developed a system with secure communication which has been configured for monitoring different variables of environments including temperature, humidity, CO, CO\({}_{2}\) and wind speed. Furthermore, the authors of [28] addressed the techniques used for reducing pollution such as CO\({}_{2}\) for improving smartness application in the real world via collaboration of drone and IoT framework applications. However, the authors of [29] presented the collaboration of smart IoT devices and drone for improving emergency response. However, some good research work has been carried out to the dynamic stream processing and previous work has not comprehensively considered dynamic stream rate and query windowing using an open knowledge base to recommend the proper window configuration. According to the authors' knowledge, no comprehensive work towards Forestry 4.0 which exploits the capabilities of streaming data platforms to manage the forest fire due to dynamic rapidly changing of the ecological environment. So, we proposed an adaptive window selector to dynamically change window configuration to face stream fluctuating. Then, we defined a real-world IoT-based use case, fire forest detection, as a dimension of Forestry 4.0 using the power of streaming technologies to provide a timely warning about fires by real-time monitoring streaming IoT data to detect the dynamic environmental fire risk. 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.