IoT-based system for monitoring conditions in an industrial painting booth Article Swipe
Gustavo Velasco-Hernandez
,
Akseer Ali Mirani
,
Anshul Awasthi
,
J. L. Walsh
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/issc55427.2022.9826206
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/issc55427.2022.9826206
During the last decades, the Internet of Things (IoT) has evolved significantly and the advances in sensors, networking and processing technologies have enabled the adoption of IoT-based concepts and solutions across different fields. Temperature and humidity monitoring is an application that is found in sectors like the food industry, environmental monitoring, agriculture, manufacturing, among others. In the industry, product painting is not only for the visual aesthetic of products but it is intended for protecting the items against corrosion, damage and for extending their lifetime. In order to get the best painting results, variables like temperature, relative humidity and dew point must be controlled in the environment. In this project, an IoT-based system for monitoring those variables is developed and evaluated, from the sensor level up to the end-user application level. By using Bosch CISS sensors, a Raspberry Pi SBC and the ThingsBoard platform, we developed and tested this solution. After presenting the requirements of the system and the architectural design, we detail on the implementation stage of each component of the solution, and share the results of the testing and evaluation. Finally, we discuss the limitations of the system and the future work envisaged for this project.
Related Topics
Concepts
Dew point
Internet of Things
Computer science
Raspberry pi
Product (mathematics)
Painting
Component (thermodynamics)
Work (physics)
Wireless sensor network
Environmental monitoring
Point (geometry)
Assisted living
Manufacturing engineering
Embedded system
Engineering
Operating system
Mechanical engineering
Nursing
Thermodynamics
Environmental engineering
Mathematics
Meteorology
Medicine
Art
Visual arts
Physics
Geometry
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/issc55427.2022.9826206
- OA Status
- green
- Cited By
- 5
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4286282850
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4286282850Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/issc55427.2022.9826206Digital Object Identifier
- Title
-
IoT-based system for monitoring conditions in an industrial painting boothWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-06-09Full publication date if available
- Authors
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Gustavo Velasco-Hernandez, Akseer Ali Mirani, Anshul Awasthi, J. L. WalshList of authors in order
- Landing page
-
https://doi.org/10.1109/issc55427.2022.9826206Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://figshare.com/articles/conference_contribution/IoT-based_system_for_monitoring_conditions_in_an_industrial_painting_booth/25382845Direct OA link when available
- Concepts
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Dew point, Internet of Things, Computer science, Raspberry pi, Product (mathematics), Painting, Component (thermodynamics), Work (physics), Wireless sensor network, Environmental monitoring, Point (geometry), Assisted living, Manufacturing engineering, Embedded system, Engineering, Operating system, Mechanical engineering, Nursing, Thermodynamics, Environmental engineering, Mathematics, Meteorology, Medicine, Art, Visual arts, Physics, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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