Integrated Sensing Systems and Algorithms for Solid Waste Bin State Management Automation

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.

[1]  Thierry Kulcar,et al.  Optimizing solid waste collection in Brussels , 1996 .

[2]  M. Caruso,et al.  A New Perspective on Magnetic Field Sensing , 1999 .

[3]  Creed Huddleston,et al.  Intelligent Sensor Design Using the Microchip dsPIC , 2006 .

[4]  Alessandro Giusti,et al.  Early detection and evaluation of waste through sensorized containers for a collection monitoring application. , 2009, Waste management.

[5]  Hassan Basri,et al.  Radio Frequency Identification (RFID) and communication technologies for solid waste bin and truck monitoring system. , 2011, Waste management.

[6]  Creed Huddleston.  Sensor Application— Pressure and Load Sensors , 2006 .

[7]  A. Carullo,et al.  An ultrasonic sensor for distance measurement in automotive applications , 2001, IEEE Sensors Journal.

[8]  William Hogland,et al.  Solid waste management challenges for cities in developing countries. , 2015, Waste management.

[9]  Chris Speed,et al.  Dynamic Collection Scheduling Using Remote Asset Monitoring , 2013 .

[10]  Johann Fellner,et al.  Setting priorities for waste management strategies in developing countries , 2007, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[11]  Weileun Fang,et al.  A Three-Axis CMOS-MEMS Accelerometer Structure With Vertically Integrated Fully Differential Sensing Electrodes , 2012, Journal of Microelectromechanical Systems.

[12]  Harold Krikke,et al.  Low-frequency collection of materials disassembled from end-of-life vehicles: On the value of on-line monitoring in optimizing route planning , 2008 .

[13]  Alessandro Persona,et al.  Waste collection multi objective model with real time traceability data. , 2011, Waste management.

[14]  Ola M Johansson,et al.  The effect of dynamic scheduling and routing in a solid waste management system. , 2006, Waste management.

[15]  Matteo Pirro,et al.  Solid Waste Management Architecture Using Wireless Sensor Network Technology , 2012, 2012 5th International Conference on New Technologies, Mobility and Security (NTMS).

[16]  M A Hannan,et al.  Solid waste monitoring and management using RFID, GIS and GSM , 2009, 2009 IEEE Student Conference on Research and Development (SCOReD).

[17]  LIS 331 DLH MEMS digital output motion sensor ultra low-power high performance 3-axes “ nano ” accelerometer , 2005 .