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Title:UPORABA METOD UMETNE INTELIGENCE PRI ODZIVU NA IZREDNE DOGODKE V SISTEMU RAVNANJA Z ODPADKI
Authors:ID Kropf, Peter (Author)
ID Strnad, Damjan (Mentor) More about this mentor... New window
Files:.pdf VS_Kropf_Peter_2016.pdf (1,61 MB)
MD5: 380867919A260C6B40A0A67892B88345
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Ravnanje z odpadki zajema zbiranje, prevažanje, predelavo in odstranjevanje odpadkov, vključno s kontrolo tega ravnanja. Izvajalci si zbiranje in odvoz organizirajo glede na potrebe in razpoložljive vire. Zaradi velikega števila odjemalcev, posod, vozil in voznikov se vnaprej pripravljajo urniki, ki so pripravljeni tako, da se viri znotraj podjetja izkoriščajo optimalno. V fazi izvajanja pogosto pride do nepredvidenih dogodkov, ki onemogočijo normalno izvajanje odvozov po urniku. V diplomskem delu se posvečamo uporabi metod umetne inteligence, s katerimi želimo izboljšati odzivnost sistema izvajalca odvoza odpadkov na izredne dogodke. Pri tem se podrobno posvetimo analizi razpoložljivih podatkov in iskanju najboljšega modela predstavitve sistema ravnanja z odpadki v digitalni obliki primerni za avtomatske obdelave, v nadaljevanju pa iskanju primernega načina vnosa izrednih dogodkov v sistem v realnem času. V nadaljevanju z uporabo diskretnih optimizacijskih metod in avkcijskega algoritma določimo najoptimalnejšo spremembo sistema in obvestimo vse deležnike sistema o spremembah v seznamu opravil.
Keywords:umetna inteligenca, ravnanje z odpadki, izredni dogodki, avkcijski algoritem
Place of publishing:[Maribor
Publisher:P. Kropf
Year of publishing:2016
PID:20.500.12556/DKUM-62009 New window
UDC:004.896:621.039.73(043.2)
COBISS.SI-ID:19917590 New window
NUK URN:URN:SI:UM:DK:P9PSLRXB
Publication date in DKUM:13.09.2016
Views:1231
Downloads:97
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
KROPF, Peter, 2016, UPORABA METOD UMETNE INTELIGENCE PRI ODZIVU NA IZREDNE DOGODKE V SISTEMU RAVNANJA Z ODPADKI [online]. Bachelor’s thesis. Maribor : P. Kropf. [Accessed 8 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=62009
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Secondary language

Language:English
Title:USE OF ARTIFICIAL INTELLIGENCE METHODS IN RESPONDING TO EMERGENCIES IN THE WASTE MANAGEMENT SYSTEM
Abstract:Waste management involves collection, transport, processing and disposal of waste, including the management of those operations. Operators organize collection and transport according to needs and available resources. Due to large number of customers, waste bins, vehicles and drivers schedules are prepared in advance in such a manner that resources in the company are used optimally. In the execution phase unforeseen events often prevent execution of scheduled operations. In this thesis we focus on the application of artificial intelligence methods to improve responsiveness of system of waste collection to emergencies. Available data in analyzed in detail to find the best presentation model of waste management system in a digital format suitable for automatic processing. After that appropriate methods for input of emergency information in real-time system are determined. Using discrete optimization methods and specifically auction algorithm we determine the optimum system change and inform all stakeholders of changes in the list of tasks.
Keywords:artificial intelligence, waste management, extraordinary events, auction algorithm


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