scholarly journals Development of Volcano Early Warning System for Kelud Volcano

Author(s):  
Maria Evita ◽  
Azka Zakiyyatuddin ◽  
Sensius Seno ◽  
Nina Siti Aminah ◽  
Wahyu Srigutomo ◽  
...  

Kelud is one of Indonesian volcano lies between Kediri and Blitar districts of East Java province. This volcano has erupted since 1000 where casualties of 200000 people emerged until the last eruption in 2014. Therefore, it is needed a volcano early warning system to detect the eruption earlier for minimizing the casualties. We have developed an early warning system based on sensor nodes consist of vibration, temperature and gasses (sulfur and carbon dioxide) sensors to monitor the physical parameter of the volcano, drone surveillance, mapping and temperature measurement, and mobile robot consists of the same sensor as in the node for both normal and emergency situations. The system has been tested in Kelud volcano in August 2019. In a normal condition, the system has detected 1 Hz of seismicity, under 1 ppm of sulfur and carbon dioxide, 23-55.3oC of the lake temperature, 32oC of the ground temperature and 23-25oC of the air temperature. The system could be used for 37 hours of full operation for 1 charging cycles of solar cell’s charging process where suitable for dangerous environment application.

2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Azzam, R., Arnhardt, C., Fernández-Stee .

Geohazards, like landslides in soil and rocks which are induced by rainfall, flooding, earthquakes and human activity are dramatically increasing worldwide. Apart from socio-economic factors, like increasing population and concentrations of settlements on endangered areas, extreme weather conditions are the main reasons for this ascent. But, these occurrences are not only concentrated on the high mountain ranges with steep slopes and strong relief. In February 2003, a landslide in the middle of Germany near the village of Wolfstein-Rossbach damaged some houses (one of them totally). Another example is the Manshiet Nasser failure in Cairo in September 2008, where a large rock tilt buried many houses. This few examples show the devastating effect of geohazards in settlement areas and the need for precise monitoring systems to protect human life and property. In the frame of the special program “Geotechnologien” of the German Federal Ministry of Education and Research (BMBF), the joint project “Sensorbased Landslide Early Warning System” (SLEWS) aims at the development of a prototypic Alarm- and Early Warning system (EWS) for different types of landslides using wireless sensor networks (WSN) for real-time monitoring. The WSN consists of a number of so called sensor nodes and a data collecting point (gateway). The solar powered gateway is connected either directly or by GSM/GPRS to the internet and subsequently to a data infrastructure to process the sensor data. Each node has a sensor board were the measuring sensors and the communication and processing unit are integrated. Special features of the Network are the real-time ability, self-organization and self-healing capacity, energy efficiency, bidirectional communication skills and data interfaces regarding OGC (Open Geospatial Consortium) specifications. The bidirectional structure of the system enables data transfer not only from each node to the spatial data infrastructure (SDI), but also to transmit commands or software-updates to individual or a group of nodes. Special sensor nodes for the monitoring of surface deformations due to landslides, measuring acceleration, tilting or extension, were developed and tested. Apart from the detection of direct deformations caused for example by landslide movements, the system also allows the monitoring of indirect deformations on buildings and constructions, like bridge or retaining walls. Furthermore, the remote monitoring of flood control basins, dams or tailings in or close to housing areas becomes easy to set up in a cost-effective way. Open structures of the system enable a very rapid and flexible adjustment to the changed conditions and also permit a simple linkage with other data sources (e.g. climate data) or other sensor networks. Also, temporal deployments for safety purposes in road construction or foundation engineering become possible as the WSN is self-powered, the components are quite small and easy to set up. In the future other sensors may be integrated into the sensor notes so further tasks in spatial environmental monitoring may be covered. Keywords: Slope instability, deformation, sensor fusion, sensor networks


SINERGI ◽  
2018 ◽  
Vol 22 (1) ◽  
pp. 29 ◽  
Author(s):  
Taufiq Muammar ◽  
Rahyul Amri ◽  
Yusnita Rahayu

Early warning system is one of the technology to detect land fires by utilizing a network of wireless sensors. Constant data transmission by the sensor nodes consumes a large amount of energy on the nodes’ sides that could affect the battery’s longevity. This research is done to discover the amount of power consumption and battery longevity during fire emergencies, and during non-emergency situation on peatlands. Power saving on the fire detecting system uses an LM35 temperature sensor, ATmega8 micro-controller and HC-12 transmission module. The overall result of powered by a 9 volt battery during fire emergencies, and during non-emergency, the power consumption reaches up to 1 Wh, with various longevity levels of the battery. The implementation of sleep/wake up mode scheduling during fire emergencies and non-emergencies could save battery for 2 hours compared to those without the power saving mode implementation. Power saving during fire emergency could be minimalized by activating the sleep mode activation power-down on the micro controller and it can also set the data transmission schedule to minimalize data usage during fire emergency, so that the usage of sleep/wake up mode interval scheduling during transmission could minimalize energy consumption and elongate the power supply active period.


2020 ◽  
Vol 6 (2) ◽  
pp. 112
Author(s):  
Veronika Hutabarat ◽  
Enie Novieastari ◽  
Satinah Satinah

Salah satu faktor dalam meningkatkan penerapan keselamatan pasien adalah ketersediaan dan efektifitas prasarana dalam rumah sakit. Early warning system (EWS) merupakan prasarana dalam mendeteksi perubahan dini  kondisi pasien. Penatalaksanaan EWS masih kurang efektif karena parameter dan nilai rentang scorenya belum sesuai dengan kondisi pasien. Tujuan penulisan untuk mengidentifikasi efektifitas EWS dalam penerapan keselamatan pasien. Metode penulisan action research melalui proses diagnosa, planning action, intervensi, evaluasi dan  refleksi. Responden dalam penelitian ini adalah  perawat yang bertugas di area respirasi dan pasien dengan kasus kompleks respirasi di Rumah Sakit Pusat Rujukan Pernapasan Persahabatan Jakarta. Analisis masalah dilakukan dengan menggunakan diagram fishbone. Masalah yang muncul belum optimalnya implementasi early warning system dalam penerapan keselamatan pasien. Hasilnya 100% perawat mengatakan REWS membantu mendeteksi kondisi pasien, 97,4 % perawat mengatakan lebih efektif dan 92,3 % perawat mengatakan lebih efesien mendeteksi perubahan kondisi pasien. Modifikasi EWS menjadi REWS lebih efektif dan efesien dilakukan karena disesuaikan dengan jenis dan kekhususan Rumah Sakit dan berdampak terhadap kualitas asuhan keperawatan dalam menerapkan keselamatan pasien. Rekomendasi perlu dilakukan monitoring evaluasi terhadap implementasi t.erhadap implementasi REWS dan pengembangan aplikasi berbasis tehnologi


PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 256A-256A
Author(s):  
Catherine Ross ◽  
Iliana Harrysson ◽  
Lynda Knight ◽  
Veena Goel ◽  
Sarah Poole ◽  
...  

2019 ◽  
Vol 3 (2) ◽  
pp. 88
Author(s):  
Riski Fitriani

Salah satu inovasi untuk menanggulangi longsor adalah dengan melakukan pemasangan Landslide Early Warning System (LEWS). Media transmisi data dari LEWS yang dikembangkan menggunakan sinyal radio Xbee. Sehingga sebelum dilakukan pemasangan LEWS, perlu dilakukan kajian kekuatan sinyal tersebut di lokasi yang akan terpasang yaitu Garut, Tasikmalaya, dan Majalengka. Kajian dilakukan menggunakan 2 jenis Xbee yaitu Xbee Pro S2B 2,4 GHz dan Xbee Pro S5 868 MHz. Setelah dilakukan kajian, Xbee 2,4 GHz tidak dapat digunakan di lokasi pengujian Garut dan Majalengka karena jarak modul induk dan anak cukup jauh serta terlalu banyak obstacle. Topologi yang digunakan yaitu topologi pair/point to point, dengan mengukur nilai RSSI menggunakan software XCTU. Semakin kecil nilai Received Signal Strength Indicator (RSSI) dari nilai receive sensitivity Xbee maka kualitas sinyal semakin baik. Pengukuran dilakukan dengan meninggikan antena Xbee dengan beberapa variasi ketinggian untuk mendapatkan kualitas sinyal yang lebih baik. Hasilnya diperoleh beberapa rekomendasi tinggi minimal antena Xbee yang terpasang di tiap lokasi modul anak pada 3 kabupaten.


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