Remote monitoring of winery and creamery environments with a wireless sensor system

Madrid, Nicolas; Boulton, Roger B.; Knoesen, A.

doi:10.1016/j.buildenv.2017.04.010

Cited by 13 publications

(3 citation statements)

References 22 publications

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“…Data retrieval for IAQ is mostly done on a special lab prepared for retrieval of data parameters from existing pollutants. However, several studies verified data on the winery environment as conducted by Madrid and Boulton [12], and performed system implementation directly. From 36 studies selected, only six studies were implemented at campus environment.…”

Section: Analysis Of Resultsmentioning

confidence: 94%

A Review on Indoor Air Quality Monitoring using IoT at Campus Environment

Ananda Hapsari,

Iqbal Hajamydeen,

Irsyad Abdullah

2018

IJET

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Indoor Air Quality (IAQ) systems provide a feasible way to maintain a healthy environment. The purpose of this study is to investigate IAQ monitoring systems, summarize existing studies, and to recommend research on IAQ monitoring that using the Internet of Things (IoT). In this systematic review the author analyzes and summarizes articles about IAQ using IoT, obtained from three databases. Based on the criteria, there were 36 studies selected that discusses IAQ, 24 are system development, six are evaluation and comparative articles, three studies proposes methods, and the other three are review articles. From the articles, there are only six researchers have conducted research on campus environment. The relevant past research was reviewed and provided discussion material on monitoring systems, sensors, devices used, and Internet of Things for Indoor Air Quality.Â Â

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Section: Analysis Of Resultsmentioning

confidence: 94%

A Review on Indoor Air Quality Monitoring using IoT at Campus Environment

Ananda Hapsari,

Iqbal Hajamydeen,

Irsyad Abdullah

2018

IJET

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“…IoT and smart connection have great potential in optimising FM activities, including inventory and document management, building security, logistics and materials tracking, tracking of building component life cycle and building energy controls [7]. Several studies about the use of data coming from IoT devices have been carried out (e.g., [43][44][45]), although many of them do not include the integration of BIM.…”

Section: Internet Of Things For Fmmentioning

confidence: 99%

Building Information Modelling and Internet of Things Integration for Facility Management—Literature Review and Future Needs

2021

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Digitisation of the built environment is seen as a significant factor for innovation in the Architecture, Engineering, Construction and Operation sector. However, lack of data and information in as-built digital models considerably limits the potential of Building Information Modelling in Facility Management. Therefore, optimisation of data collection and management is needed, all the more so now that Industry 4.0 has widened the use of sensors into buildings and infrastructures. A literature review on the two main pillars of digitalisation in construction, Building Information Modelling and Internet of Things, is presented, along with a bibliographic analysis of two citations and abstracts databases focusing on the operations stage. The bibliographic research has been carried out using Web of Science and Scopus databases. The article is aimed at providing a detailed analysis of BIM–IoT integration for Facility Management (FM) process improvements. Issues, opportunities and areas where further research efforts are required are outlined. Finally, four key areas of further research development in FM management have been proposed, focusing on optimising data collection and management.

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“…Rapid developments in low-cost sensors (LCSs) and wireless communication technologies have become much more prominent in in everyday life [9,[18][19][20][21][22]. LCSs have the potential to revolutionise insufficient IAQ monitoring systems with the prospect of delivering real-time air pollution data through sensor networks, which complement the established reference measurement methods defined in the EU Air Quality Directives (e.g., 2008/50/EC).…”

Section: Pollutants Indoor Air Outdoor Air Referencesmentioning

confidence: 99%

Low-Cost Air Quality Sensing towards Smart Homes

et al. 2021

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The evolution of low-cost sensors (LCSs) has made the spatio-temporal mapping of indoor air quality (IAQ) possible in real-time but the availability of a diverse set of LCSs make their selection challenging. Converting individual sensors into a sensing network requires the knowledge of diverse research disciplines, which we aim to bring together by making IAQ an advanced feature of smart homes. The aim of this review is to discuss the advanced home automation technologies for the monitoring and control of IAQ through networked air pollution LCSs. The key steps that can allow transforming conventional homes into smart homes are sensor selection, deployment strategies, data processing, and development of predictive models. A detailed synthesis of air pollution LCSs allowed us to summarise their advantages and drawbacks for spatio-temporal mapping of IAQ. We concluded that the performance evaluation of LCSs under controlled laboratory conditions prior to deployment is recommended for quality assurance/control (QA/QC), however, routine calibration or implementing statistical techniques during operational times, especially during long-term monitoring, is required for a network of sensors. The deployment height of sensors could vary purposefully as per location and exposure height of the occupants inside home environments for a spatio-temporal mapping. Appropriate data processing tools are needed to handle a huge amount of multivariate data to automate pre-/post-processing tasks, leading to more scalable, reliable and adaptable solutions. The review also showed the potential of using machine learning technique for predicting spatio-temporal IAQ in LCS networked-systems.

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Remote monitoring of winery and creamery environments with a wireless sensor system

Cited by 13 publications

References 22 publications

A Review on Indoor Air Quality Monitoring using IoT at Campus Environment

A Review on Indoor Air Quality Monitoring using IoT at Campus Environment

Building Information Modelling and Internet of Things Integration for Facility Management—Literature Review and Future Needs

Low-Cost Air Quality Sensing towards Smart Homes

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