Lighting conditions as the occupational health related issue – case study

The paper deals with the important element of proper lighting conditions at a workplace. The case study has been focused on the intelligent building “Energis” of Kielce University of Technology, where the experimental tests took place. Several groups of volunteers filled in the questionnaires related to their subjective feelings of lighting conditions in lecture rooms at different seasons. Simultaneously, precise measurements of lighting intensity were carried out. The comparison of the expressions of the room users and the measurements enabled to draw conclusions about the conditions provided in the intelligent building related to lighting. The study provides valuable information of lighting conditions in the modern, intelligent buildings which are more and more common throughout the world and serve various purposes such as office, educational or other public utility buildings.

Intelligent Building Construction Management Based on BIM Digital Twin

In order to improve the construction effect of intelligent buildings, this paper combines the BIM digital twin technology to construct the overall structure of the building construction operation and maintenance system driven by the BIM digital twin. Moreover, this paper conducts intelligent simulation of the construction process of the building and combines the construction process of the intelligent building to apply the BIM digital twin technology to the construction management of the intelligent building. In addition, this paper uses BIM to simulate the construction process. After the construction management plan is developed, BIM can be used to simulate the construction, find the problems in the construction, and formulate a reliable construction management plan in time. Through simulation experiment research, it can be known that the intelligent building construction management model based on BIM digital twin proposed in this paper can help the deployment of intelligent building construction process in many aspects and help improve the efficiency of building construction management.

LPWAN Networks for Energy Meters Reading and Monitoring Power Supply Network in Intelligent Buildings

In this paper the idea of functioning of Building Management Systems and Object Management Systems in intelligent buildings is presented. New functionalities of intelligent buildings resulting from the introduction of microgeneration are described. Low-Power Wide-Area Networks (LPWAN) are characterized and compared. The selected Long-Range (LoRaWAN) technology is tested for its use for communication with energy meters and monitoring the power supply network in intelligent buildings. In the paper a new system for reading and monitoring the network is proposed, consisting of hardware, communication, and application layers. A key element of the system is a specially developed converter, which has been designed and tested in a real urban environment. Using our solution in practice could allow to change the architecture of a measurement data acquisition system to much more flexible and efficient.

Assessment of the Indoor Environment in the Intelligent Building

Currently, thermal comfort and indoor air quality are essential elements in designing modern and intelligent buildings or improving existing ones, so that they would provide proper indoor conditions. The article focuses on the thermal sensations of the students of Kielce University of Technology and determining whether the given parameters of the internal environment contributed to their well-being. 164 people aged 16 - 24 participated in the study, which was conducted with the use of a microclimate meter and questionnaires. It turned out that the temperature range from 19.3 °C – 27.6 °C is acceptable and comfortable for nearly 78% of people. As a result of further analysis, it turned out that the research group definitely prefers and feels better in colder temperatures.

Control system of intelligent buildings based on convolutional neural networks

In recent years, with the development of ”Internet of things” appeared another concept – smart home environment, which is defined as the physical infrastructure to operate of ambient intelligence. For the effective operation of such facilities requires to develop of new methods and approaches for adaptive control. In this paper, we analyzed the parameters characterizing the state of the control object, identify the necessary set of measured parameters obtained from the sensors, and an informative set of input parameters. We design method of training of neural network.

Review of Artificial Intelligence Techniques inGreen/Smart Buildings.

The many benefits offered by green or smart buildings have led to an increase in their construction. In turn, this growth has been accompanied by a rapid evolution of research on this topic. Thus, given the specialist interest, research on the use of artificial intelligence in this type of construction has been gaining space. This topic, although still novel, due to its current and future importance requires a literature review to identify the main actors, evaluate the past and establish future lines of research. The results based on 174 manuscripts detected in Web of Science and Scopus databases allow us to establish the main authors, institutions, countries and journals as well as the seminal papers in this field. Furthermore, through a keywords co-occurrence analysis this study identifies some of the topics that have received most interest in the past as well as some promising future research trends. This bibliometric study analyzes the relationship between the main clusters DML&B (Deep - Machine Learning and Building Constructions) by means of a detailed description of the fundamental concepts identified in the content analysis. It is complemented by a temporal keyword analysis focusing on the economic, social and environmental benefits obtained through green or intelligent buildings. Consequently, this research contributes to the literature by providing an overview of the past and current status of this field, as well as by opening future research lines.

On Implementation of Plants in the Indoor Environment in Intelligent Buildings

The article deals with the research of the influence of plants on the potential energy savings in the field of ventilation of intelligent buildings. It is known that selected plants can effectively reduce the concentration of carbon dioxide even in the indoor environment of buildings in poor lighting conditions. The paper presents a theoretical simulation method that shows the potential of selected plants to reduce the concentration of carbon dioxide in the indoor environment and thus reduce the requirement for the amount of supplied air in intelligent buildings which are air-conditioned based on the current and required concentration of carbon dioxide. The results of the research are very influential; in terms of overall percentage savings, plants have the most significant effect in buildings with lower indoor air quality (IDA4+), while they have a less significant effect in areas with high air quality according to carbon dioxide concentration (IDA2, IDA3). Research with the help of computer simulation shows that the implementation of 1 m2 of living green plants, depending on the quality class of the IDA indoor environment, can bring savings on the amount of supplied air in the range of 0.058 % to 1.997 % for a typical office for 4 people.