GaN-based micro chemical sensor nodes for early warning chemical agents

Author(s):  
K.-A. Son ◽  
B. Yang ◽  
N. Prokopuk ◽  
J. S. Moon ◽  
A. Liao ◽  
...  
Author(s):  
N. Prokopuk ◽  
Kyung-Ah Son ◽  
T. George ◽  
J.S. Moon
Keyword(s):  

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


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3817 ◽  
Author(s):  
Pedro Teixidó ◽  
Juan Gómez-Galán ◽  
Fernando Gómez-Bravo ◽  
Trinidad Sánchez-Rodríguez ◽  
Javier Alcina ◽  
...  

This paper presents the design of a wireless flood sensor to detect the presence of water on home floors, providing early warning of water leaks. A wireless sensor network has been deployed to gather the measurements from the sensor nodes. A control central coordinates the network and processes the data. Users can remotely inquire for the presence of water, status of the batteries for a specific node, the type of liquid and information about its functionality and alarms, thanks to a proprietary software application. The alerts are also communicated to the user within the home through an audible siren. The designed device is optimized in terms of costs, ease of deployment and maintenance, thus making it widely acceptable to end users.


2020 ◽  
pp. 398-405
Author(s):  
Mohd Aizat Mohd Yazid ◽  
◽  
Ahmad Jazlan ◽  
Mohd Zuhaili Mohd Rodzi ◽  
Muhammad Afif Husman ◽  
...  

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.


2021 ◽  
Author(s):  
Moritz Gamperl ◽  
John Singer ◽  
Kurosch Thuro

<p>Worldwide, cities in mountainous areas struggle with increasing landslide risk as consequence of global warming and population growth, especially in low-income informal settlements. For these situations, current monitoring systems are often too expensive and too difficult to maintain. Therefore, innovative monitoring systems are needed in order to facilitate low-cost landslide early warning systems (LEWS) which can be applied easily.</p><p>Based on technologies such as micro-electro-mechanical systems (MEMS) sensors and the LoRa (Long Range) communication standard, we are currently developing a cost-effective IoT (Internet of Things) geosensor network. It is specifically designed for local scale LEWS in informal settlements.</p><p>The system, which is open source and can be replicated without restrictions, consists of versatile LoRa sensor nodes which have a set of MEMS sensors (e.g. tilt sensor) on board and to which various additional sensors can be connected. The nodes are autonomous and can operate on standard batteries or solar panels. The sensor nodes can be installed on critical infrastructure such as house walls or foundations. Two of the possible additions are the Subsurface Sensor Node and the Low-Cost Inclinometer. Both are installed underground and offer tilt- and groundwater-measurements of the subsurface.</p><p>Complemented with further innovative measurement systems such as the Continuous Shear Monitor (CSM) and a flexible data management and analysis system, the newly developed monitoring system offers a great cost to benefit ratio and easy application for similar sites and LEWS, especially in urbanized areas in developing countries.</p><p>This work is being developed as part of the project Inform@Risk, where the monitoring system will be installed as part of an early warning system in Medellín, Colombia. It is funded by the German Ministry of Education and Research (BMBF).</p>


2003 ◽  
Vol 782 ◽  
Author(s):  
Mo Yang ◽  
Xuan Zhang ◽  
Bonnie Kohr ◽  
Andre Morgan ◽  
Cengiz S Ozkan

ABSTRACTThe broad-spectrum sensitivity of cell based biosensors offers the capability for detecting known and unknown chemical/biological agents. One cellular parameter that is often measured is the extracellular potential of electrically active cells. Membrane excitability in osteoblasts plays a key role in modulating the electrical activity in the presence of chemical agents. However, the complexity of this signal makes interpretation of the cellular response to a chemical agent difficult to interpret. By analyzing shifts in the signal's power spectrum, it is possible to determine a frequency spectrum also known as Signature Pattern Vectors (SPV) specific to a chemical. We used a 5x5 multiple microelectrode array system to spatially position osteoblast cells, by using a gradient AC field. Fast Fourier Transformation (FFT) analyses were used to extract information pertaining to the frequency of firing from the extracellular potential.


Author(s):  
Lukman Awaludin ◽  
Oktaf Agni Dhewa

Landslides are one of the natural disasters that often occur in Indonesia. Therefore, this disaster cannot be eliminated, but it can minimize the disadvantage caused by an early warning mechanism. Early warning systems rely on a sensor node used to read soil conditions with specific parameters. Those parameters that are read lead to the detection of mass movements. With the tightness of the monitoring process, of course, a reliable sensor node is needed. However, there are challenges in how to minimize losses that occur due to damage to sensor nodes when landslides occur. Sensor nodes are made using IMU sensors to monitor mass movements and its use two processors, namely microcontroller and mini SBC, which are inexpensive to manufacture and do not require large space in the installation.


2021 ◽  
Vol 11 (21) ◽  
pp. 10308
Author(s):  
Małgorzata Gawlik-Kobylińska ◽  
Grzegorz Gudzbeler ◽  
Łukasz Szklarski ◽  
Norbert Kopp ◽  
Helge Koch-Eschweiler ◽  
...  

Chemical reconnaissance, defined as hazards detection, identification, and monitoring, requires tools and solutions which provide reliable and precise data. In this field, the advances of artificial intelligence can be applied. This article aims to propose a novel approach for developing a chemical reconnaissance system that relies on machine learning, modelling algorithms, as well as the contaminant dispersion model to combine signals from different sensors and reduce false alarm rates. A case study of the European Union Horizon 2020 project–EU-SENSE is used and the main features of the system are analysed: heterogeneous sensor nodes components, chemical agents to be detected, and system architecture design. Through the proposed approach, chemical reconnaissance capabilities are improved, resulting in more effective crisis management. The idea for the system design can be used and developed in other areas, namely, in biological or radiological threat reconnaissance.


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.


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