scholarly journals Wildfire early warning system based on wireless sensors and unmanned aerial vehicle

2019 ◽  
Vol 7 (1) ◽  
pp. 76-91 ◽  
Author(s):  
Songsheng Li

Wildfires erupt annually around the world causing serious loss of life and property damage. Despite the rapid progress of science and technology, there are no effective means to forecast wildfires. Various wildfire monitoring systems are deployed in different countries, most depend on photos or videos to identify features of wildfire after the first outbreak, while the delay of confirmation varies with technology. An autonomous forest wildfire early warning system is presented in this paper, which employs a state-of-the-art unmanned aerial vehicle (UAV) to fly around a forest regularly according to established routes and strict procedures, to collect environmental data from sensors installed on trees, to monitor and predict wildfire, then provide early warning before eruption if a danger emerges. Bluetooth Low Energy (BLE) is employed to exchange data between UAV and the host of sensors. The collected monitoring data, such as temperature and humidity, is effective to reflect the real condition of the forest, which could result in early warning of wildfires. The application of this system in the environment will enhance the ability of wildfire prediction for the community.


Pondasi ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 67
Author(s):  
Fakhryza Nabila Hamida ◽  
Hasti Widyasamratri

ABSTRACTIndonesia is an area prone to landslides. The occurrence of this landslide disaster can cause a large impact such as damage and loss both material and non-material. The availability of complete and accurate information in controlling land use in landslide prone areas in the development of an area becomes very important in minimizing the loss of life and losses, both physical, social and economic. This information must be disseminated to the community as an early warning system in disaster mitigation efforts. Identification of the characteristics of landslide prone areas requires a risk mapping of landslide prone areas in efforts to mitigate disasters can be done using Geographic Information Systems (GIS). The results in this study indicate the need to identify disaster risk in detail because basically, an area threatened by disaster does not necessarily mean that each community has the same level of disaster risk. Mapping can be done by clustering or by identifying each building in a vulnerable area based on the level of risk of landslides. Keywords: risk analysis, landslides, disaster mitigation, GIS ABSTRAKIndonesia merupakan wilayah yang rawan terhadap bencana longsor. Terjadinya bencana longsor ini dapat menyebabkan dampak yang besar seperti kerusakan dan kerugian baik materiil maupun non materiil. Tersedianya informasi yang lengkap dan akurat dalam pengendalian pemanfaatan lahan di kawasan rawan bencana longsor dalam pengembangan suatu wilayah menjadi hal yang sangat penting dalam meminimalisir adanya korban jiwa dan kerugian-kerugian baik fisik, sosial maupun ekonomi. Informasi tersebut harus disebarkan kepada masyarakat sebagai sistem peringatan dini dalam upaya mitigasi bencana. Identifikasi karakteristik daerah rawan longsor diperlukan sebuah pemetaan risiko kawasan rawan longsor dalam upaya mitigasi bencana dapat dilakukan menggunakan Sistem Informasi Geografis (SIG). Hasil dalam penelitian ini menunjukkan perlunya identifikasi risiko bencana secara detail karena pada dasarnya, suatu kawasan yang terancam bencana belum tentu tiap masyarakatnya mempunyai tingkat risiko bencana yang sama. Pemetaan dapat dilakukan dengan pengklusteran maupun dengan identifikasi setiap bangunan dalam kawasan rawan berdasarkan tingkat risiko terhadap bencana tanah longsor.Kata Kunci: analisis risiko, tanah longsor, mitigasi bencana, GIS



2018 ◽  
Vol 9 (1) ◽  
pp. 84 ◽  
Author(s):  
Muhammad Syafrudin ◽  
Norma Fitriyani ◽  
Ganjar Alfian ◽  
Jongtae Rhee

Maintaining product quality is essential for smart factories, hence detecting abnormal events in assembly line is important for timely decision-making. This study proposes an affordable fast early warning system based on edge computing to detect abnormal events during assembly line. The proposed model obtains environmental data from various sensors including gyroscopes, accelerometers, temperature, humidity, ambient light, and air quality. The fault model is installed close to the facilities, so abnormal events can be timely detected. Several performance evaluations are conducted to obtain the optimal scenario for utilizing edge devices to improve data processing and analysis speed, and the final proposed model provides the highest accuracy in terms of detecting abnormal events compared to other classification models. The proposed model was tested over four months of operation in a Korean automobile parts factory, and provided significant benefits from monitoring assembly line, as well as classifying abnormal events. The model helped improve decision-making by reducing or preventing unexpected losses due to abnormal events.



2018 ◽  
Vol 16 (5) ◽  
Author(s):  
Mohd Ramzi Mohd Hussain ◽  
Ismawi Zen ◽  
Rahsidi Sabri Muda ◽  
Sivadass Thiruchelvam ◽  
Izawati Tukiman ◽  
...  

This article presents the community awareness on the implementation of Early Warning System (EWS) in a well-planned Integrated Community-Based Disaster Management (ICBDM) that covers all Tenaga Nasional Berhad’s (TNB) hydroelectric schemes. In Cameron Highland, Lembah Bertam and further downstream villages were reported to have the highest occurrence of floods especially during monsoon season, which makes the area vulnerable. This study incorporates and synergizes three major stakeholders; the community; local authority; and TNB; gearing towards minimizing loss of life and property damages in the event of a dam related disaster. The aim of this article is to assess the level of awareness and perceptions of the directly affected communities towards the implementation of EWS. Their heightened awareness would help to reduce their vulnerability in the event of future disaster. This study opted for a quantitative approach, which included a questionnaire survey. The findings revealed that the demographic characteristics influenced community awareness regarding the implementation of EWS. Most of the respondents accepted the EWS positively and understood the importance of EWS. Thus, the community members have the right to know and understand the hazard they should be expecting so they can plan for themselves and make informed choices to reduce their vulnerability.



2007 ◽  
pp. 283-306 ◽  
Author(s):  
Yih-Min Wu ◽  
Nai-Chi Hsiao ◽  
William H. K. Lee ◽  
Ta-liang Teng ◽  
Tzay-Chyn Shin


2018 ◽  
Vol 16 ◽  
Author(s):  
Mohd Ramzi Mohd Hussain ◽  
Ismawi Zen ◽  
Rahsidi Sabri Muda ◽  
Sivadass Thiruchelvam ◽  
Izawati Tukiman ◽  
...  

This article presents the community awareness on the implementation of Early Warning System (EWS) in a well-planned Integrated Community-Based Disaster Management (ICBDM) that covers all Tenaga Nasional Berhad’s (TNB) hydroelectric schemes. In Cameron Highland, Lembah Bertam and further downstream villages were reported to have the highest occurrence of floods especially during monsoon season, which makes the area vulnerable. This study incorporates and synergizes three major stakeholders; the community; local authority; and TNB; gearing towards minimizing loss of life and property damages in the event of a dam related disaster. The aim of this article is to assess the level of awareness and perceptions of the directly affected communities towards the implementation of EWS. Their heightened awareness would help to reduce their vulnerability in the event of future disaster. This study opted for a quantitative approach, which included a questionnaire survey. The findings revealed that the demographic characteristics influenced community awareness regarding the implementation of EWS. Most of the respondents accepted the EWS positively and understood the importance of EWS. Thus, the community members have the right to know and understand the hazard they should be expecting so they can plan for themselves and make informed choices to reduce their vulnerability.



Refuge ◽  
1997 ◽  
pp. 16-18
Author(s):  
Andreas V. Kohlschutter ◽  
Gunther Bachler

The authors introduce a pilot project on a general conflict warning system mainly designed to serve the Swiss Foreign Ministry. Especially after the Rwanda disaster, the administration (backed by the Foreign Committee of the Parliament) underlines the need for a computerized system that builds the ground for early recognition and, thus, enhances the "institutionalized" pressure to (re)act in a stage of a conflict as early as possible. Questions arise on the state of the art as weIl as on the interface between early warning on one hand and decision making and early action on the other.



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