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Long Range (LoRa) radio is low power and long-range communication protocol that meets the requirement of the internet of things. In the context of waste management, automation and communication are required to be enhanced for a sustainable and effective waste management system. In this study, we are proposing the implementation of long-range radio and vision node for real-time monitoring of the waste management system. Vision-based sensor mote comprises of long-range radio, level measurement sensor, weighing senor and Pi camera for communicates the sensory information to the data transmission unit via long-range radio. The data transmission unit transmits the data to the cloud server via internet connectivity. The sensory data and visuals data logs in the cloud server. The authorities are able to the real-time monitoring the visuals of the bin, this will assist the authorities to implement an effective waste management system.
Shaik Vaseem Akram; Rajesh Singh; Anita Gehlot. Long-Range Radio and Vision Node Based Waste Management System. Advances in Intelligent Systems and Computing 2021, 291 -298.
AMA StyleShaik Vaseem Akram, Rajesh Singh, Anita Gehlot. Long-Range Radio and Vision Node Based Waste Management System. Advances in Intelligent Systems and Computing. 2021; ():291-298.
Chicago/Turabian StyleShaik Vaseem Akram; Rajesh Singh; Anita Gehlot. 2021. "Long-Range Radio and Vision Node Based Waste Management System." Advances in Intelligent Systems and Computing , no. : 291-298.
The United Nations (UN) 2030 agenda on sustainable development goals (SDGs) encourages us to implement sustainable infrastructure and services for confronting challenges such as large energy consumption, solid waste generation, depletion of water resources and emission of greenhouse gases in the construction industry. Therefore, to overcome challenges and establishing sustainable construction, there is a requirement to integrate information technology with innovative manufacturing processes and materials science. Moreover, the wide implementation of three-dimensional printing (3DP) technology in constructing monuments, artistic objects, and residential buildings has gained attention. The integration of the Internet of Things (IoT), cloud manufacturing (CM), and 3DP allows us to digitalize the construction for providing reliable and digitalized features to the users. In this review article, we discuss the opportunities and challenges of implementing the IoT, CM, and 3D printing (3DP) technologies in building constructions for achieving sustainability. The recent convergence research of cloud development and 3D printing (3DP) are being explored in the article by categorizing them into multiple sections including 3D printing resource access technology, 3D printing cloud platform (3D–PCP) service architectures, 3D printing service optimized configuration technology, 3D printing service evaluation technology, and 3D service control and monitoring technology. This paper also examines and analyzes the limitations of existing research and, moreover, the article provides key recommendations such as automation with robotics, predictive analytics in 3DP, eco-friendly 3DP, and 5G technology-based IoT-based CM for future enhancements.
Rajesh Singh; Anita Gehlot; Shaik Akram; Lovi Gupta; Manoj Jena; Chander Prakash; Sunpreet Singh; Raman Kumar. Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction. Sustainability 2021, 13, 7327 .
AMA StyleRajesh Singh, Anita Gehlot, Shaik Akram, Lovi Gupta, Manoj Jena, Chander Prakash, Sunpreet Singh, Raman Kumar. Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction. Sustainability. 2021; 13 (13):7327.
Chicago/Turabian StyleRajesh Singh; Anita Gehlot; Shaik Akram; Lovi Gupta; Manoj Jena; Chander Prakash; Sunpreet Singh; Raman Kumar. 2021. "Cloud Manufacturing, Internet of Things-Assisted Manufacturing and 3D Printing Technology: Reliable Tools for Sustainable Construction." Sustainability 13, no. 13: 7327.