Reliable Integration of Neural Network and Internet of Things for Forecasting, Controlling, and Monitoring of Experimental Building Management System

Abstract

In this paper, Internet of Things (IoT) and artificial intelligence (AI) are employed to solve the issue of energy consumption in a case study of an education laboratory. IoT enables deployment of AI approaches to establish smart systems and manage the sensor signals between different equipment based on smart decisions. As a result, this paper introduces the design and investigation of an experimental building management system (BMS)-based IoT approach to monitor status of sensors and control operation of loads to reduce energy consumption. The proposed BMS is built on integration between a programmable logic controller (PLC), a Node MCU ESP8266, and an Arduino Mega 2560 to perform the roles of transferring and processing data as well as decision-making. The system employs a variety of sensors, including a DHT11 sensor, an IR sensor, a smoke sensor, and an ultrasonic sensor. The collected IoT data from temperature sensors are used to build an artificial neural network (ANN) model to forecast the temperature inside the laboratory. The proposed IoT platform is created by the ThingSpeak platform, the Bylink dashboard, and a mobile application. The experimental results show that the experimental BMS can monitor the sensor data and publish the data on different IoT platforms. In addition, the results demonstrate that operation of the air-conditioning, lighting, firefighting, and ventilation systems could be optimally monitored and managed for a smart system with an architectural design. Furthermore, the results prove that the ANN model can perform a distinct temperature forecasting process based on IoT data.

Machine Learning and IoT Trends for Intelligent Prediction of Aircraft Wing Anti-Icing System Temperature

“…The IoT is defined as a collective network that combines connected devices and different types of technology, which in turn, facilitates communication between the cloud and these devices [38][39][40]. Due to the emergence of cheap microchips for computers as well as high-bandwidth communication systems, the world now has many devices connected to the Internet that have different functions and tasks [38][39][40][41].…”

“…In addition, ANNs have been used in other applications, for example, to improve the performance of controllers in aircraft and hybrid electric vehicles [36,37]. As a result of the emergence of Industry 4.0 and its close connection with the IoT, researchers are interested in exploiting the IoT and applying it in many applications, such as BMS, economics, management, aviation, and many other fields [38][39][40][41][42][43][44][45][46]. For example, the IoT and ANNs were combined to predict, control, and observe the temperature, humidity, and other parameters for a building management system [38].…”

Enhancing Neonatal Incubator Energy Management and Monitoring through IoT-Enabled CNN-LSTM Combination Predictive Model

“…The model's performance is evaluated using test data to measure its effectiveness. The mathematical calculations depict the operations within LSTM that enable it to recognize patterns in sequential data and maintain and manipulate information over extended periods through Equations ( 3)- (10). The architectural design of the LSTM is illustrated in Figure 7 [33].…”

“…Generally, healthcare professionals use neonatal incubators to maintain temperature and humidity conditions. Therefore, this research uses DHT11 sensors to monitor temperature and humidity and ACS712 devices to measure energy consumption [10,11]. Additionally, this research conducted experiments to understand the temperature distribution inside the incubator.…”

Enhancing Teachers’ AI Competencies through Artificial Intelligence of Things Professional Development Training

“…Usually, AI education covers topics such as machine learning, neural networks, natural language processing, computer vision, data analysis, and the societal implications of AI. Many studies have proposed methods to equip students with the knowledge and skills to understand, evaluate, and contribute to AI advancements to develop students' understanding of the potential impact on society and the ethical considerations associated with AI [12][13][14]. Some studies attempt to propose the methodology of artificial intelligence education.…”