MONITORING OF ELECTRICAL SYSTEM USING INTERNET OF THINGS WITH SMART CURRENT ELECTRIC SENSORS

Electricity is one of the most important human needs. In the presence of electricity it can facilitate human work. But it should be noted that too large and uncontrolled electricity use will be wasteful and get high costs. The problem is that electricity is not monitored accurately, easily and efficiently. This study aims to design an electric current monitoring device with an IoT system. IoT is a concept with the ability to transfer data by network, no need humans to humans or humans to PCs. In this concept, the SCT 013-000 electric current sensor is connected to the load, it will be show electric current value in the LCD, if the electric current which is determined exceeds the capacity, Wemos D1 including Wifi ESP 8266 will be sending a notification to the telegram. The system has been implemented with ironing load for 3.29%, the dispenser load is 0.20% and Magicom's get load for 1.07%. The delay time also has been implemented in the relay for 1.50 second when relay is on and 0.78 second when relay is off. When the notification send to the telegram also have a delay for 6.2 second. So, monitoring of electrical system using internet of things with smart current electric sensors has been done

Over-the-air computation for IoT networks : computing multiple functions with antenna arrays

Over-the-air computation combines communication and computation efficiently by utilizing the superposition prop- erty of wireless channels, when Internet of Things (IoT) networks focus more on the computed functions than the individual messages. In this work, we study the computation of multiple linear functions of Gaussian sources over-the-air using antenna arrays at both the IoT devices and the IoT access point (AP). The key challenges in this study are the intra-node interference of multiple functions, the non-uniform fading between different IoT devices and the massive channel state information (CSI) required at the IoT AP. We propose a novel transmitter design at the IoT devices with zero-forcing beamforming to cancel the intra-node interference and uniform-forcing power control to compensate the non-uniform fading. In order to avoid massive CSI requirement, receive antenna selection is adopted at the IoT AP and a corresponding signaling procedure is proposed utilizing the “OR” property of the wireless channel. The performance of the proposed transceiver design is analyzed. The closed-form expression for the mean squared function error (MSFE) outage is derived. Due to the complexity of the expression, an asymptotic analysis of the MSFE outage is further provided to demonstrate the diversity order in terms of the transmit power constraint and the number of IoT devices. Simulation results are presented to show the performance of the proposed design

System for Monitoring Progress in a Mixing and Grinding Machine Using Sound Signal Processing

芝浦工業大学2021年

Design of Wireless Sensors for IoT with Energy Storage and Communication Channel Heterogeneity

Autonomous Wireless Sensors (AWSs) are at the core of every Wireless Sensor Network (WSN). Current AWS technology allows the development of many IoT-based applications, ranging from military to bioengineering and from industry to education. The energy optimization of AWSs depends mainly on: Structural, functional, and application specifications. The holistic design methodology addresses all the factors mentioned above. In this sense, we propose an original solution based on a novel architecture that duplicates the transceivers and also the power source using a hybrid storage system. By identifying the consumption needs of the transceivers, an appropriate methodology for sizing and controlling the power flow for the power source is proposed. The paper emphasizes the fusion between information, communication, and energy consumption of the AWS in terms of spectrum information through a set of transceiver testing scenarios, identifying the main factors that influence the sensor node design and their inter-dependencies. Optimization of the system considers all these factors obtaining an energy efficient AWS, paving the way towards autonomous sensors by adding an energy harvesting element to them

Development of industrial IoT based monitoring and control system for radio broadcasting network in Tanzania: a case of Tanzania broadcasting corporation

A Final Project Report Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in Embedded and Mobile System of the Nelson Mandela African Institution of Science and TechnologyThe radio towers must be constructed in sharp elevations or mountains to ensure the maximum radio wave propagation and long-distance coverage of the radio station programs. Due to the sharp elevation positioning of radio towers, the tower operators or technicians are required to climb up every day to be able to take readings of the equipment. Strenuous and daily effort is needed to access these sharp locations either on foot or by car. A need to develop and implement a system that will monitor and send earlier notifications information on the status of the transmitter to the responsible tower operators. Therefore, this project aims to develop an IIoT based monitoring and control system for terrestrial broadcasting networks with outdated technology of Fm transmitter equipment which isstill used in Tanzania. As a result, the solution will effectively and timely assist tower operators to monitor, collecting information understanding and the existing problems that are happening at the radio towers without physically climbing to the radio towers. In addition, the system is cost-effective and collect information in real-time based as it is integrated with a mobile application in a smart device that is linked to the embedded system which is installed in a specific tower to monitor parameters such as forward power, reflected power, electrical units, fuel level, temperature, humidity, and smoke. This study has used a mixed-design approach of quantitative and qualitative methods using focus group discussions with 20 stakeholders to evaluate the developed system. The result of the evaluation shows that 90% of the respondents agreed that the developed system is robust and appropriate to manage the existing challenges at the radio towers.The radio towers must be constructed in sharp elevations or mountains to ensure the maximum radio wave propagation and long-distance coverage of the radio station programs. Due to the sharp elevation positioning of radio towers, the tower operators or technicians are required to climb up every day to be able to take readings of the equipment. Strenuous and daily effort is needed to access these sharp locations either on foot or by car. A need to develop and implement a system that will monitor and send earlier notifications information on the status of the transmitter to the responsible tower operators. Therefore, this project aims to develop an IIoT based monitoring and control system for terrestrial broadcasting networks with outdated technology of Fm transmitter equipment which isstill used in Tanzania. As a result, the solution will effectively and timely assist tower operators to monitor, collecting information understanding and the existing problems that are happening at the radio towers without physically climbing to the radio towers. In addition, the system is cost-effective and collect information in real-time based as it is integrated with a mobile application in a smart device that is linked to the embedded system which is installed in a specific tower to monitor parameters such as forward power, reflected power, electrical units, fuel level, temperature, humidity, and smoke. This study has used a mixed-design approach of quantitative and qualitative methods using focus group discussions with 20 stakeholders to evaluate the developed system. The result of the evaluation shows that 90% of the respondents agreed that the developed system is robust and appropriate to manage the existing challenges at the radio towers

Smart Monitoring and Control in the Future Internet of Things

The Internet of Things (IoT) and related technologies have the promise of realizing pervasive and smart applications which, in turn, have the potential of improving the quality of life of people living in a connected world. According to the IoT vision, all things can cooperate amongst themselves and be managed from anywhere via the Internet, allowing tight integration between the physical and cyber worlds and thus improving efficiency, promoting usability, and opening up new application opportunities. Nowadays, IoT technologies have successfully been exploited in several domains, providing both social and economic benefits. The realization of the full potential of the next generation of the Internet of Things still needs further research efforts concerning, for instance, the identification of new architectures, methodologies, and infrastructures dealing with distributed and decentralized IoT systems; the integration of IoT with cognitive and social capabilities; the enhancement of the sensing–analysis–control cycle; the integration of consciousness and awareness in IoT environments; and the design of new algorithms and techniques for managing IoT big data. This Special Issue is devoted to advancements in technologies, methodologies, and applications for IoT, together with emerging standards and research topics which would lead to realization of the future Internet of Things