dc.contributor.author |
Madiha, Rimsha Aslam Shehar Bano |
|
dc.date.accessioned |
2025-02-27T07:02:38Z |
|
dc.date.available |
2025-02-27T07:02:38Z |
|
dc.date.issued |
2025-02-27 |
|
dc.identifier.other |
NUST-2015-132835 |
|
dc.identifier.uri |
http://10.250.8.41:8080/xmlui/handle/123456789/50293 |
|
dc.description |
Supervisor: Dr. Ali Tahir |
en_US |
dc.description.abstract |
With ever increasing population, cities are becoming more prone to pollution mainly due
to improper waste management system. It creates unhygienic environment for the citizens
leading to the spread of infectious diseases and fatal illnesses. To cater this problem, a
smart waste management system is proposed in this project in which public dustbins will
be installed with embedded devices which will help in real-time monitoring of level of
garbage bin, concentration of emission of gases from biodegradable waste and weight of
garbage collected in the bins. The real-time data will be used in generating automated
alerts and providing optimized routes to the drivers to only those garbage bins which
need to be collected for which an android application will be used. This will result in
reduced fuel consumption and reduced human time and effort. The proposed system also
includes a web application which has the capability of providing previous data as well as
the routing efficiency analysis in order to analyze the efficiency of the whole system. The
proposed system saves from unnecessary cleanup cost and promotes a hygienic
environment. The system can be made more efficient by introducing the disaggregation
mechanism to differentiate between recyclable, non-recyclable and dry waste for which
inductive and infrared sensors can be used.
iii |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Institute of Geographical Information Systems (IGIS) |
en_US |
dc.subject |
pollution |
en_US |
dc.title |
GEOSPATIALLY INTELLIGENT WASTE MANAGEMENT SYSTEM WITH REAL TIME AUTOMATED ALERT GENERATION PROMOTING SMART CITY |
en_US |
dc.type |
Thesis |
en_US |