Integration of cyber-physical HVAC systems in Incremental Manufacturing to improve Energy Efficiency and Air Quality

Vogt, Marcus; Schlichter, Jan; Aschersleben, Franziska; Abraham, Tim; Wolf, Lars; Herrmann, Christoph

doi:10.1016/j.procir.2021.11.081

Cited by 3 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the second group, [20] monitors PM2.5 with SPS30 sensors in a multi-sensor node placed in the ventilation system of an incremental manufacturing lab combining additive and subtractive manufacturing.…”

Section: Air Quality Monitoring In Manufacturingmentioning

confidence: 99%

See 1 more Smart Citation

Virtual sensor architecture for indoor air quality monitoring

Merino,

Ikeuchi,

Moretti

et al. 2023

IET Conf. Proc.

View full text Add to dashboard Cite

Human exposure to poor air quality is a leading risk factor in the Global Burden of Disease (GBD) study, estimating 22,000 premature deaths related to indoor air pollution in 2019 in Europe. Diverse pollutants are found in manufacturing environments resulting from both combustion and non-combustion sources, including Particulate Matter and Volatile Organic Compound. Internet of Things (IoT) air quality monitoring can enhance awareness and support informed decision making towards better air quality. However, hardware sensors are not always capable of monitoring particular characteristics and behaviour of a pollutant, for instance, spatial limitations may impede deploying sensors close enough to the source of the pollutant. Virtual Sensors can extend hardware sensing options via signal processing and data integration. This paper presents an architecture for training and deploying virtual sensors. A virtual sensor is implemented using the architecture in the context of additive manufacturing to estimate the production of Volatile Organic Compounds (VOCs) of 3D printers and their transfer into the rest of the space. In the case study, the 3D printers are installed inside cabinets to limit the transfer of pollutants to the exterior. Several of these virtual sensors are deployed to monitor the VOCs produced by the 3D printers and the transfer rate out of the cabinets. The paper includes some early results and initial insights on the accuracy and usefulness of virtual sensors. Virtual Sensors can be cost-effective solutions when monitoring systems are escalated by reducing number of hardware sensors and complexity.

show abstract

Section: Air Quality Monitoring In Manufacturingmentioning

confidence: 99%

“…Research mostly focuses on high-end monitoring [5], [6], [14]- [19]. Some authors try to make low-cost monitoring feasible by integrating it with signal processing and analysis [17], [20].…”

Section: Introductionmentioning

confidence: 99%

Virtual sensor architecture for indoor air quality monitoring

Merino,

Ikeuchi,

Moretti

et al. 2023

IET Conf. Proc.

View full text Add to dashboard Cite

show abstract

“…The literature in the area of sustainability-oriented cyber-physical production systems reflect the complexity of the systematic and sustainable development of Industry 4.0, or digital solutions. While Industry 4.0 solutions are directly subject to the challenges of sustainable and efficient material and resource use, the fundamental environmentally sustainable nature of CPPSs as potential drivers of the Fourth Industrial Revolution have already been demonstrated [1,8,[18][19][20]. Real production scenarios have also been used to Because of the "environmental backpack" resulting from the manufacturing of digital solutions, CPPSs must always be viewed critically in sustainability-oriented production.…”

Section: State Of Researchmentioning

confidence: 99%

Systematic Development of Sustainability-Oriented Cyber-Physical Production Systems

et al. 2022

Self Cite

View full text Add to dashboard Cite

Manufacturing companies increasingly have to address the risks and contributions related to their environmental impacts. Therefore, more data are needed in order to provide full transparency with regard to production, and to highlight the potential relationships between the process data and the environmental impacts. In order to achieve this data transparency, targeted digitalization is needed that is tailored to the goal of reaching minimized environmental impacts. Cyber-physical production systems (CPPSs) are central for the digitalization of manufacturing. However, they may also come with an initial environmental backpack. Due to unawareness of relevant interdependencies when setting up CPPS, data may be collected which is not helpful or necessary for the development of sustainability-oriented CPPS. Therefore, a critical assessment is required which data is necessary to support sustainable manufacturing and to avoid unreflective data collection. This requires the identification of the relevant factors and their interdependencies within the context of sustainability in production. By identifying the influencing factors, the measurement strategy can be linked to the appropriate sensor technologies that explicitly contribute to the target fulfillment. The design of more sustainable data structures using a cross-impact analysis is illustrated in this paper as a generic methodological approach, which will be applied to a 3D-printing use case.

show abstract

Design and Deployment Experiences of a Versatile Industrial WSN and Testbed

Schlichter

Wolf

2022

2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)

View full text Add to dashboard Cite

Integration of cyber-physical HVAC systems in Incremental Manufacturing to improve Energy Efficiency and Air Quality

Cited by 3 publications

References 15 publications

Virtual sensor architecture for indoor air quality monitoring

Virtual sensor architecture for indoor air quality monitoring

Systematic Development of Sustainability-Oriented Cyber-Physical Production Systems

Design and Deployment Experiences of a Versatile Industrial WSN and Testbed

Contact Info

Product

Resources

About