Scalable regional wireless sensor network for long-term monitoring and detection of hazards in physical infrastructures with an example in arboriculture
by Lui Hoi Lun
THESIS
2019
M.Phil. Integrative Systems and Design
ix, 75 pages : illustrations (some color) ; 30 cm
Abstract
The thesis takes a technical focus on the use of LPWAN and low-cost wireless sensors to
monitor and predict the risk of structural failures in trees. This serves as a tested example of
the potential applications of the sensing network. The thesis then discusses the value of a
general architecture based on these technologies in the predictive maintenance industry, and
argues that a business venture with a foothold in a low-end market segment such as
arboriculture is a strategy to secure its entry into the mainstream predictive market. The thesis
then takes a business focus and evaluate the prospects of a business venture offering solutions
based on the architecture.
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