Operation State Identification Method for Unmanned Construction: Extended Search and Registration System of Novel Operation State Based on LSTM and DDTW

Ziwei Qiao, Yuichi Mizukoshi, Takumi Moteki, Hiroyasu Iwata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Unmanned construction technology is being developed to aid in disaster recovery by remotely operating construction machinery, thereby reducing the possibility of secondary disasters. However, the work efficiency of unmanned operation is only about half that of the normal operation. Thus, various support methods based on operation states have been developed to improve the work efficiency. It is important to automatically determine the operation state of the construction machinery to apply these support methods. In this paper, we propose an extended operation state identification model that can identify various operation states. The proposed model consists of two parts: operation state classification system using the classification model of Long Short-Term Memory (LSTM), and novel state search and registration system using the regression model of LSTM. Simulation of unmanned construction was conducted to verify the potential of the proposed model.

Original languageEnglish
Title of host publication2022 IEEE/SICE International Symposium on System Integration, SII 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-18
Number of pages6
ISBN (Electronic)9781665445405
DOIs
Publication statusPublished - 2022
Event2022 IEEE/SICE International Symposium on System Integration, SII 2022 - Virtual, Narvik, Norway
Duration: 2022 Jan 92022 Jan 12

Publication series

Name2022 IEEE/SICE International Symposium on System Integration, SII 2022

Conference

Conference2022 IEEE/SICE International Symposium on System Integration, SII 2022
Country/TerritoryNorway
CityVirtual, Narvik
Period22/1/922/1/12

ASJC Scopus subject areas

  • Artificial Intelligence
  • Hardware and Architecture
  • Biomedical Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Control and Optimization

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