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An efficient IoT architecture based smart home was proposed for intelligent energy-saving. Thus, HVAC control systems represent an important effort in reducing electricity consumption. It is reported that roughly 50% of buildings’ energy is consumed by the residential sector, including cooking, lighting, heating, fanes, and air conditioning (HVAC). The internet of things can provide a solution for building smart energy control systems of buildings, particularly for smart city applications. There are several IoT-related technologies that have been developed to monitor energy consumption and energy saving. Therefore, this technology is recognized as one of the most remarkable technological advances in future technology and received great attention due to its potential in empowering the fourth industrial revolution. With the evolution of IoT topology, the online data obtained from the sensors can be utilized to improve the industrial processes and the quality of life. It is predicted that the number of smart devices connected to the IoT will be around 30 billion worldwide by 2020. The data-gathering sensors are equipped to IoT devices such as appliances, personal devices, or industrial equipment that allow communication and control. The IoT system consists of many emerging technologies that enable wireless interconnections among physical objects, which, in this system, are referred to as “things”. The IoT is a new technology that establishes the core of Industry 4.0. Therefore, energy consumption and saving are a great concern for our current time, and the internet of things (IoT)-based energy management of smart buildings is a particularly important research topic.
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The energy efficiency in buildings is vital for the environment and global sustainability.
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However, it is being used wastefully because of user habits like forgetting to turn off electrical devices, not knowing how to use them, or using devices that consume too much power. Electricity is derived from different sources such as hydropower, nuclear fission reactions, natural gas, coal, wind, and sunlight, which are limited energy resources. This is one of the reasons that we are facing pollution and climate change issues. About 80% of global energy is consumed by the urban agglomerates, of which the total energy consumption of buildings accounts for 40%. According to the International Energy Agency, from 1971 to 2014, worldwide energy consumption has grown by 92%. Nowadays, urbanization is increasing rapidly, particularly in developed countries, leading to a high demand for energy consumption. Another vital application of the proposed promising approach is in the remote management of diverse controllable devices. The detection status can also be successfully published on the dashboard of the IoT platform. The simulation results emphasize that the proposed deep learning-based recognition algorithm can accurately detect the number of persons in the specified area, thanks to its ability to model highly non-linear relationships in data. To affirm the efficacy and effectiveness of the proposed approach, intensive test scenarios are simulated in a specific smart building considering the existence of air conditioners. The proposed system enhances decision making about energy consumption. Furthermore, the number of persons and the status of the air conditioners are published via the internet to the dashboard of the IoT platform. Accordingly, the operation of the air conditioners could be optimally managed in a smart building.
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To achieve such an ambitious target, we have proposed a deep learning-based people detection system utilizing the YOLOv3 algorithm to count the number of persons in a specific area. The paper’s innovation is to introduce a deep learning and IoT based approach to control the operation of air conditioners in order to reduce energy consumption. Besides, the IoT system enables the utilization of artificial intelligence (AI) techniques to manage and control the signals between different machines based on intelligence decisions. The IoT enables the sharing of signals between devices and machines via the internet. The internet of things (IoT) is a new technology that establishes the core of Industry 4.0. Worldwide, energy consumption and saving represent the main challenges for all sectors, most importantly in industrial and domestic sectors.