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Title:AVTOMATSKO IDENTIFICIRANJE, KLASIFICIRANJE, TEHTANJE IN LOCIRANJE V SISTEMU ZBIRANJA KOMUNALNIH ODPADKOV
Authors:ID Omerzu, Zoran (Author)
ID Lep, Marjan (Mentor) More about this mentor... New window
ID Lisec, Andrej (Comentor)
Files:.pdf MAG_Omerzu_Zoran_2016.pdf (5,57 MB)
MD5: 95E4660F00B7B7FDA9EFBE62BAF791B7
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:V Sloveniji je uveljavljena praksa, da se stroški zbiranja komunalnih odpadkov obračunavajo glede na velikost posode, število oseb oziroma kvadrature objektov. Že nekaj časa s pomočjo zbiralnic in zbirnih centrov oz. centrov za predelavo odpadkov, vsaj po določenih občinah v Sloveniji, zgledno ločujemo odpadke. Iz leta v leto količina ločeno zbranih frakcij narašča. Tako lahko uporabnikom storitev zbiranja komunalnih odpadkov, z zglednim ločevanjem, ostane v njihovih posodah za mešane komunalne odpadke, zelo malo odpadkov. Nepravično do uporabnikov teh storitev je, da zaradi manjše količine ostanka odpadkov posledično ne plačujejo tudi manj smetarine. Veliko truda je bilo vloženega v vzpostavitev sistema ločenega zbiranja odpadkov na izvoru. Prav pa bi bilo še tehnologijo zbiranja komunalnih odpadkov nadgraditi s sodobnim informacijskim sistemom, ki bi olajšal poslovanje gospodarskih družb in neposredno vplival na motiviranje uporabnikov teh storitev, kar bi imelo pozitivne učinke še na ekologijo. V magistrskem delu iščemo sodobno tehnologijo, ki bi v sistemu zbiranja komunalnih odpadkov omogočala avtomatsko identifikacijo uporabnika te storitve, klasifikacijo vrste odpadka oziroma posode, tehtanje oddane količine odpadkov ter lociranje, tako samih vozil kot posod za odpadke.
Keywords:avtomatska identifikacija, dinamično tehtanje, lociranje, zbiranje komunalnih odpadkov, komunalni odpadki, sistem ravnanja z odpadki, optimizacija transportnih poti, modeliranje v prometu
Place of publishing:Maribor
Publisher:[Z. Omerzu]
Year of publishing:2016
PID:20.500.12556/DKUM-60078 New window
UDC:656
COBISS.SI-ID:512800061 New window
NUK URN:URN:SI:UM:DK:SWXXFWSD
Publication date in DKUM:19.07.2016
Views:1764
Downloads:235
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FG
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Secondary language

Language:English
Title:AUTOMATIC IDENTIFICATION, CLASSIFICATION, WEIGHING AND LOCATING IN THE SYSTEM OF MUNICIPAL WASTE COLLECTION
Abstract:Expenses of collecting municipal solid waste are accounted in Slovenia according to the size of a container, the number of people or the size of buildings. We have been separating waste with the help of collecting points and collecting centres for remaking waste in certain municipalities in Slovenia for some time. The amount of separate collected fractions is increasing year by year. There can be a little amount of mixed communal waste in containers if users separate waste correctly. It is unfair to the users of this service that they do not pay less because of less amount of waste remains. A lot of effort was made in the reestablishment of the system of separate collecting waste at the beginning. The technology of collecting municipal solid waste should be modernized with the contemporary information system that would make the operation of economic companies easier and that would make an influence on motivation of the users of these services directly. Therefore, it would have positive effects on ecology. In the master thesis we are looking for a contemporary technology that would make not only an automatic identification of a user possible, but also classification of a sort of waste or a container, weighing of a waste quantity that is given away and locating of vehicles as well as containers for waste.
Keywords:automatic identification, classification, dynamic weighing, locating, collecting municipal solid waste, municipal solid waste, waste management, optimization of transport routes, traffic modeling


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