Abstract
Abstract. Illegal municipal solid wastes are tiny in scale and various in type, thus, it is difficult to be found by remote sensing image. To solve the problem, this paper designs and implements an illegal solid waste monitoring system based on Android App, which is composed of mobile-side and web-side. The mobile-side adopts the C/S structure, and realizes illegal solid waste location based on Gaode mobile map API on Android platform. Users can use the mobile App to report the type, scale, address and on-site photos of illegal solid waste in real time. The web-side adopts the B/S structure and develops based on the SSM framework. The web-side deploys the Tomcat server and MySQL database on the cloud server provided by Alibaba Cloud to realize the data cloud management and visual display based on Gaode Web map. The system has well-designed interfaces and convenient operations, which can effectively improve the management level and law enforcement efficiency of municipal solid waste.
Highlights
Municipal solid waste (MSW) refers to the solid waste generated by urban residents or activities that provide services in urban dwellers’ daily lives, mainly including household waste and commercial waste sometimes
Most of the Android App are written using Java, and the mobile-side of the illegal municipal solid waste monitoring system developed in this paper is on the application layer
The Web-side is based on the B/S structure, Tomcat is chosen as Web server, MySQL is used as the back-end database, and SSM framework is adopted to develop the system
Summary
Municipal solid waste (MSW) refers to the solid waste generated by urban residents or activities that provide services in urban dwellers’ daily lives, mainly including household waste and commercial waste sometimes. Automatic identification and manual interpretation of municipal solid waste using remote sensing images can greatly improve the efficiency of municipal solid waste monitoring. Xu Yunchuan and Wang Xin studied the application of satellite remote sensing in the identification and evaluation of municipal solid waste (Xu,1993) and (Wang, 1997), exploring a new way for solid waste management. It is not applicable to use these low-resolution and mediumresolution remote sensing images for identifying and monitoring large-scale municipal solid waste in small-area municipal solid waste that is widely present. The illegal municipal solid waste is usually small and concealed, which cannot be effectively monitored using remote sensing images. Monitoring of illegal municipal solid waste based on App is feasible both in technology and implementation.
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