A Multi-level Monitoring Framework for Containerized Self-Adaptive Early Warning Applications

Author(s):  
Salman Taherizadeh ◽  
Vlado Stankovski
Author(s):  
Krum Videnov ◽  
Vanya Stoykova

Monitoring water levels of lakes, streams, rivers and other water basins is of essential importance and is a popular measurement for a number of different industries and organisations. Remote water level monitoring helps to provide an early warning feature by sending advance alerts when the water level is increased (reaches a certain threshold). The purpose of this report is to present an affordable solution for measuring water levels in water sources using IoT and LPWAN. The assembled system enables recording of water level fluctuations in real time and storing the collected data on a remote database through LoRaWAN for further processing and analysis.


2020 ◽  
Vol 17 (9) ◽  
pp. 827-837
Author(s):  
Chi Zhang ◽  
Martin F. Lambert ◽  
Mark L. Stephens ◽  
Jinzhe Gong ◽  
Benjamin S. Cazzolato

1989 ◽  
Vol 33 (2) ◽  
pp. 489-497 ◽  
Author(s):  
Sheu Chyi-Horng ◽  
G. De Roeck ◽  
M. Van Laethem ◽  
P. Geyskens

2012 ◽  
Vol 260-261 ◽  
pp. 1079-1085
Author(s):  
Ming Qi Chang ◽  
Yan Li Fan

Early warning system of water resources security is a multi-level and complex system made of many factors. By analyzing current situation of water resources security early warning, operating mechanism of water resources security early warning system is put forward. Logic, time and knowledge related to operating mechanism are discussed. For early warning threshold decision is one of key technologies in water resources security early warning, warning threshold decision and warning degree classification of water resources security early warning are set forth. These methods are systematic method, control chart method, catastrophe theory method and expert decision method. Adopting the water resources security early warning system, situation can be analyzed and predicted promptly and effectively.


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