Optimization of position and number of hotspot detectors using artificial neural network and genetic algorithm to estimate material levels inside a silo

Jeong Hoon Rhee, Sang Il Kim, Kang Min Lee, Moon Kyum Kim, Yun Mook Lim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

To realize efficient operation of a silo, level management of internal storage is crucial. In this study, to address the existing measurement limitations, a silo hotspot detector, which is typically utilized for internal silo temperature monitoring, was employed. The internal temperature data measured using the hotspot detectors were used to train an artificial neural network (ANN) algorithm to predict the level of the internal storage of the silo. The prediction accuracy was evaluated by comparing the predicted data with ground truth data. We combined the ANN model with the genetic algorithm (GA) to improve the prediction accuracy and establish efficient sensor installation positions and number to proceed with optimization. Simulation results demonstrated that the best predictive performance (up to 97% accuracy) was achieved when the ANN structure was 9-19-19-1. Furthermore, the numbers of efficient sensors and sensors positions determined using the proposed ANN-GA technique were reduced from seven to five or four, thereby ensuring economic feasibility.

Original languageEnglish
Article number4427
JournalSensors
Volume21
Issue number13
DOIs
Publication statusPublished - 2021 Jul 1

Bibliographical note

Funding Information:
Funding: This research was funded by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and was granted financial support from the Ministry of Trade, Industry, and Energy, Republic of Korea (No. 20201510100010), and the Technology Advancement Research Program (TARP) funded by the Ministry of Land, Infrastructure, and Transport of the Korean government (20CTAP-C152286-02).

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Optimization of position and number of hotspot detectors using artificial neural network and genetic algorithm to estimate material levels inside a silo'. Together they form a unique fingerprint.

Cite this