An Improved Optimization Algorithm Based on Density Grid for Green Storage Monitoring System

Yanting Zhang, Zhe Zhu, Wei Ning and Amir M. Fathollahi-Fard ()
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Yanting Zhang: School of Marxism Studies, Jilin University, Changchun 130021, China
Zhe Zhu: School of Marxism Studies, Jilin University, Changchun 130021, China
Wei Ning: Economic Research Institute of Jilin Province Development and Reform Commission, Changchun 130061, China
Amir M. Fathollahi-Fard: Department of Electrical Engineering, École de Technologie Supérieure, University of Québec, Montréal, QC H3C 1K3, Canada

Sustainability, 2022, vol. 14, issue 17, 1-19

Abstract: This study takes a sample of green storage monitoring data for corn from a biochemical energy enterprise, based on the enterprise’s original storage monitoring system while establishing a “green fortress” intending to achieve green and sustainable grain storage. This paper proposes a set of processing algorithms for real-time flow data from the storage system based on cluster analysis to detect abnormal storage conditions, achieve the goal of green grain storage and maximize benefits for the enterprises. Firstly, data from the corn storage monitoring system and the current status of research on data processing algorithms are analyzed. Our study summarizes the processing of re-al-time stream data together with the characteristics of the monitoring system and discusses the application of clustering analysis algorithms. The study includes an in-depth study of the green storage monitoring system data for corn and the processing requirements for real-time stream data. As the main novelty of this research, the optimization algorithm model is applied to the green storage monitoring system for maize and is validated. Finally, the processing results for the green storage monitoring data for maize are presented in graphical and textual formats.

Keywords: corn green storage system; algorithm design; real-time data flow; density grid clustering (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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