Abstract
This paper relates to a method of integration of RFID and communication technologies for solid waste bin and truck monitoring system. RFID, GPS, GPRS and Digital map along side camera technologies have been integrated and developed the brain and a truck intelligent monitoring system. A proposed kind of integrated theoretical framework using image processing approaches, hardware architecture and interface algorithm has been introduced between the technologies for the successful implementation of the proposed system. With this technique, bin and truck database have been developed such a way that the information on the bin and truck ID, date and time of waste collection, bin status, amount of waste and bin and truck GPS coordinates etc. are compiled and stored for monitoring and management activities. The outdoor field test demonstrates the performance of the developed system in solid waste collection. Important info was identified, collected, and automatically recorded upon the number of the bins.
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References
Arebey, M., et al.: Integrated technologies for solid waste bin monitoring system. Environmental Monitoring and Assessment 177(1-4), 399–408 (2011)
Hannan, M.A., et al.: Radio Frequency Identification (RFID) and communication technologies for solid waste bin and truck monitoring system. Waste Management 31(12), 2406–2413 (2011)
Blaakman, E.J., et al.: Integration of Remote Sensing in ECOSYS. Lelystad, The Netherlands, RIZA, Report No.011, p. 95 (1995)
Gong, P., Pu, R., Chen, J.: Mapping ecological land systems and classification uncertainty from digital elevation and forest cover data using neural networks. Photogrammetric Engineering and Remote Sensing 62(11), 1249–1260 (1996)
Cigdem, G.: Monitoring of a water basin area in istanbul using remote sensing data. Water Science and Technology 38(11), 209–216 (1998)
Atkinson, P.M., Tate, N.J.: Spatial Scale Problems and Geostatistical Solutions: A Review. The Professional Geographer 52(4), 607–623 (2000)
Le Vine, D., Wirt, M., Whitebook, B.: Grid Computing for Massively Multiplayer Games. Charles River Media, MA (2003)
Tavares, G., et al.: Optimisation of MSW collection routes for minimum fuel consumption using 3D GIS modelling. Waste Management 29(3), 1176–1185 (2009)
Flora, A.: Towards a clean environment, proposal on sustainable and integrated solid waste management system for universiti Kebangsaan Malaysia (2009)
Myny, K., et al.: Organic RFID transponder chip with data rate compatible with electronic product coding. Organic Electronics 11(7), 1176–1179 (2010)
Sarac, A., Absi, N., Dauzère-Pérès, S.: A literature review on the impact of RFID technologies on supply chain management. International Journal of Production Economics 128(1), 77–95 (2010)
Farrell, J.: Aided navigation: GPS with high rate sensors. McGraw-Hill, New York (2008)
Misra, P., Enge, P.: Global Positioning System: Signals, Measurements (2011)
Halonen, T., Romero, J., Melero, J.: GSM, GPRS and EDGE performance: evolution towards 3G/UMTS. Wiley (2004)
Greenfeld, J.S.: Matching GPS observations to locations on a digital map
Dawson, J.F., Thompson, E.J., Cousens, J.A.: Digital map system. Google Patents (1989)
Reverter, F., Gasulla, M., Pallas-Areny, R.: Capacitive level sensing for solid-waste collection. In: Proceedings of IEEE Sensors (2003)
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Arebey, M., Hannan, M.A., Basri, H. (2013). Integrated Communication for Truck Monitoring in Solid Waste Collection Systems. In: Zaman, H.B., Robinson, P., Olivier, P., Shih, T.K., Velastin, S. (eds) Advances in Visual Informatics. IVIC 2013. Lecture Notes in Computer Science, vol 8237. Springer, Cham. https://doi.org/10.1007/978-3-319-02958-0_7
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DOI: https://doi.org/10.1007/978-3-319-02958-0_7
Publisher Name: Springer, Cham
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