LAPSE:2021.0125
Published Article
LAPSE:2021.0125
Autonomous Indoor Scanning System Collecting Spatial and Environmental Data for Efficient Indoor Monitoring and Control
Dongwoo Park, Soyoung Hwang
March 14, 2021
As various activities related to entertainment, business, shopping, and conventions are done increasingly indoors, the demand for indoor spatial information and indoor environmental data is growing. Unlike the case of outdoor environments, obtaining spatial information in indoor environments is difficult. Given the absence of GNSS (Global Navigation Satellite System) signals, various technologies for indoor positioning, mapping and modeling have been proposed. Related business models for indoor space services, safety, convenience, facility management, and disaster response, moreover, have been suggested. An autonomous scanning system for collection of indoor spatial and environmental data is proposed in this paper. The proposed system can be utilized to collect spatial dimensions suitable for extraction of a two-dimensional indoor drawing and obtainment of spatial imaging as well as indoor environmental data on temperature, humidity and particulate matter. For these operations, the system has two modes, manual and autonomous. The main function of the systems is autonomous mode, and the manual mode is implemented additionally. It can be applied in facilities without infrastructure for indoor data collection, such as for routine indoor data collection purposes, and it can also be used for immediate indoor data collection in cases of emergency (e.g., accidents, disasters).
Keywords
autonomous scanning, environmental data, indoor spatial data, IoT (Internet of Things), mobile application, sensor
Suggested Citation
Park D, Hwang S. Autonomous Indoor Scanning System Collecting Spatial and Environmental Data for Efficient Indoor Monitoring and Control. (2021). LAPSE:2021.0125
Author Affiliations
Park D: Department of Software, Catholic University of Pusan, Busan 46252, Korea
Hwang S: Department of Software, Catholic University of Pusan, Busan 46252, Korea
Journal Name
Processes
Volume
8
Issue
9
Article Number
E1133
Year
2020
Publication Date
2020-09-11
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr8091133, Publication Type: Journal Article
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LAPSE:2021.0125
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doi:10.3390/pr8091133
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Mar 14, 2021
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CC BY 4.0
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[v1] (Original Submission)
Mar 14, 2021
 
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Mar 14, 2021
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https://psecommunity.org/LAPSE:2021.0125
 
Original Submitter
Calvin Tsay
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