Title :
Integrated Sensing Systems and Algorithms for Solid Waste Bin State Management Automation
Author :
Abdulla Al Mamun, Md ; Hannan, M.A. ; Hussain, Amir ; Basri, Hassan
Author_Institution :
Fac. of Eng. & Built Environ., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Abstract :
Intelligent solid waste bin is essential to develop an efficient and dynamic waste management system. This research presents the implementation and execution of an integrated sensing system and algorithm for solid waste bin to automate the solid waste management process. Several sensing methods have been integrated and have combined their verdicts that offer the detection of bin condition and its parameter measurement. A number of test runs have been conducted to assess the functioning of the prototype system. The outcomes showed that the sensing system with the algorithm is efficient and intelligent and can be simply used to automate any solid waste bin management process.
Keywords :
sensors; waste management; bin condition detection; integrated sensing system; integrated solid waste bin state management automation algorithm; parameter measurement; Acceleration; Accelerometers; Filling; Intelligent sensors; Magnetic sensors; Solids; Automation; integrated sensing system; solid waste management;
Journal_Title :
Sensors Journal, IEEE
DOI :
10.1109/JSEN.2014.2351452