Using Knowledge Base for Event-Driven Scheduling of Web Monitoring Systems

E-Commerce and Web Technologies - Lecture Notes in Computer Science ◽

10.1007/978-3-642-03964-5_17 ◽

2009 ◽

pp. 169-180

Author(s):

Yang Sok Kim ◽

Sung Won Kang ◽

Byeong Ho Kang ◽

Paul Compton

Keyword(s):

Knowledge Base ◽

Monitoring Systems ◽

Event Driven

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Integrating Service Blueprint and Event-driven Process Chain to Design Service Monitoring Systems

Service Science and Management ◽

10.12677/ssem.2012.23b002 ◽

2013 ◽

Vol 02 (03) ◽

pp. 6-10

Author(s):

宏峯赖

Keyword(s):

Monitoring Systems ◽

Process Chain ◽

Service Monitoring ◽

Event Driven ◽

Service Blueprint

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Event-driven human based evolutionary knowledge base for smart buildings

2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) ◽

10.1109/ebccsp.2016.7605246 ◽

2016 ◽

Author(s):

Nastaran Asadi Zanjani ◽

Johann Bigler ◽

Maher Kayal

Keyword(s):

Knowledge Base ◽

Smart Buildings ◽

Event Driven

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Maintenance Work Order Based on Event-Driven Information of Condition-Monitoring Systems—A Genetic Algorithm for Scheduling and Rescheduling of Dynamic Maintenance Orders

Dynamics in Logistics - Lecture Notes in Logistics ◽

10.1007/978-3-642-35966-8_33 ◽

2013 ◽

pp. 395-404 ◽

Cited By ~ 1

Author(s):

Marco Lewandowski ◽

Oliver Siebenand ◽

Stephan Oelker ◽

Bernd Scholz-Reiter

Keyword(s):

Genetic Algorithm ◽

Condition Monitoring ◽

Monitoring Systems ◽

Event Driven ◽

Condition Monitoring Systems ◽

Dynamic Maintenance ◽

Maintenance Work

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Performance Evaluation of Event-Driven Software Applied in Monitoring Systems

Lecture Notes in Networks and Systems - Reliability and Statistics in Transportation and Communication ◽

10.1007/978-3-030-12450-2_30 ◽

2019 ◽

pp. 311-319

Author(s):

Jarosław Sugier ◽

Tomasz Walkowiak ◽

Jacek Mazurkiewicz ◽

Przemysław Śliwiński ◽

Krzysztof Helt

Keyword(s):

Performance Evaluation ◽

Monitoring Systems ◽

Event Driven

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Long-Lifetime Event-Driven Wireless Monitoring System for Pole-Mounted Transformers

Applied Sciences ◽

10.3390/app11167313 ◽

2021 ◽

Vol 11 (16) ◽

pp. 7313

Author(s):

Seung Soo Kwak ◽

Yun Chan Im ◽

Yong Sin Kim

Keyword(s):

Monitoring System ◽

Smart Grids ◽

Low Cost ◽

Monitoring Systems ◽

Sleep Mode ◽

Battery Lifetime ◽

Continuous Sampling ◽

Wireless Monitoring ◽

Event Driven ◽

Save Energy

As smart grids develop rapidly, low-cost monitoring systems for pole-mounted transformers increase in demand. Even though battery-powered wireless monitoring systems appear to provide optimal solutions, they consume large amounts of energy for continuous sampling and data transmission. Operation and maintenance costs then increase owing to reduced battery lifetime and battery replacement. To overcome this problem, this paper presents an event-driven battery-powered wireless monitoring system that monitors abnormalities of a transformer and transmits data only if an abnormality occurs. When the proposed event controller detects an abnormality, it enables a root mean square (RMS) converter and a peak detector for sampling and transmitting the maximum RMS value of the abnormal signal and then falls into sleep mode until the next event to save energy. Simulation and experimental results show that the proposed system enhances battery lifetime by up to two orders of magnitude compared to a conventional battery-powered wireless monitoring system.

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