Evaluation of Open Data Models for the Exchange of Sensor Data in Cognitive Building

Scheffer, Markus; König, Markus; Engelmann, T.; Tagliabue, Lavinia Chiara; Ciribini, Angelo Luigi Camillo; Rinaldi, Stefano; Pasetti, Marco

doi:10.1109/metroi4.2018.8428349

Cited by 12 publications

(12 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Original research (primary sources) of the targeted papers was limited. Only seven original papers were found, all of which used quantitative research on specific research topics that were not related to each other: augmented reality [58], facility management [53], structural monitoring [43], data management [48], design management [52], and real-time project management [49]. All selected papers discussed experiments and the result obtained.…”

Section: Methodological Concernsmentioning

confidence: 99%

Industry 4.0 for the Construction Industry—How Ready Is the Industry?

et al. 2019

View full text Add to dashboard Cite

Technology and innovations have fueled the evolution of Industry 4.0, the fourth industrial revolution. Industry 4.0 encourages growth and development through its efficiency capacity, as documented in the literature. The growth of the construction industry is a subset of the universal set of the gross domestic product value; thus, Industry 4.0 has a spillover effect on the engineering and construction industry. In this study, we aimed to map the state of Industry 4.0 in the construction industry, to identify its key areas, and evaluate and interpret the available evidence. We focused our literature search on Web of Science and Scopus between January 2015 and May 2019. The search was dependent on the following keywords: “Industry 4.0” OR “Industrial revolution 4.0” AND TOPIC: “construction” OR “building”. From the 82 papers found, 20 full-length papers were included in this review. Results from the targeted papers were split into three clusters: technology, security, and management. With building information modelling (BIM) as the core in the cyber-physical system, the cyber-planning-physical system is able to accommodate BIM functionalities to improve construction lifecycle. This collaboration and autonomous synchronization system are able to automate the design and construction processes, and improve the ability of handling substantial amounts of heterogeneity-laden data. Industry 4.0 is expected to augment both the quality and productivity of construction and attract domestic and foreign investors.

show abstract

Section: Methodological Concernsmentioning

confidence: 99%

Industry 4.0 for the Construction Industry—How Ready Is the Industry?

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The quality construction is one of the key factors determining the viability and prospects of development of this field of economic activity (economy). Ensuring reliability and quality is a permanent challenge for the subjects of investment activity in the construction industry [3][4][5][6][7][8][9]. Improving the quality of construction products is a complex, multifactorial challenge possible with a use of systematic approach along the following main areas (for key subjects in the investment activity in construction):…”

Section: Methodsmentioning

confidence: 99%

Construction supervision at the facilities renovation

Lapidus

Topchiy

2019

E3S Web Conf.

View full text Add to dashboard Cite

Article justify the need for a systematic approach to the formation of uniform requirements for the volume and level of construction supervision carried out in the conversion of industrial facilities. Author determines the factors that affect the safety, is the quantitative characteristics of various types of control measures carried out by specialists of state construction supervision both at the facility and in the office. As a hypothesis, author considers the possibility of forming a single deterministic system that provides objective supervision during the conversion and does not create an excessive burden for both the state and the developer. As a result, the existing legislation in the field of state construction supervision is incomplete and partly contradictory. In this article the necessity of formation of scientifically grounded hierarchical organizational and technological system of construction supervision is defined.

show abstract

“…The same model has been also used to locate the installed sensors into the building and propose a methodology to visualise and communicate the data promoting indoor data-mapping to track comfort conditions [17]. A dynamic structure for the communication of data to the BIM model by means of the IFC standard has been proposed [18], and the test and verification phase is still in progress. The BIM model can be implemented to translate the data gathered by the sensors into useful information for building operation and management.…”

Section: Digital Twinmentioning

confidence: 99%

An IoT framework for the assessment of indoor conditions and estimation of occupancy rates: results from a real case study

Rinaldi¹,

Flammini²,

Tagliabue

et al. 2019

ACTA IMEKO

View full text Add to dashboard Cite

In recent years, energy-savings policies have affected many aspects of everyday life. Considering a typical building, the heating, ventilation, and air conditioning (HVAC) system is the most energy-consuming system. This consideration is especially true for large public-access buildings, such as schools, and public administrations. In these cases, the energy saving of buildings depends on the capability to optimise the behaviour of the HVAC. Typically, the HVAC control system is based on static models of the building, which consider the average occupancy rate of each of the rooms. On the contrary, in this research work, a cognitive system based on an occupancy rate model that is able to take into consideration user habits and indoor air quality (IAQ) provided by IoT sensors is considered for the control of HVAC systems. This approach has been applied to the eLUX lab building of the University of Brescia, Italy. Data provided by IoT IAQ sensors (temperature, relative humidity, CO2) is used to refine the results of the occupancy rates for the models of the rooms of this building. The experimental results show, as in 22.15 % of the samples, the CO2 concentration exceeded the 1,000 ppm threshold of the perception of fresh air and good conditions.

show abstract

Evaluation of Open Data Models for the Exchange of Sensor Data in Cognitive Building

Cited by 12 publications

References 12 publications

Industry 4.0 for the Construction Industry—How Ready Is the Industry?

Industry 4.0 for the Construction Industry—How Ready Is the Industry?

Construction supervision at the facilities renovation

An IoT framework for the assessment of indoor conditions and estimation of occupancy rates: results from a real case study

Contact Info

Product

Resources

About