Abstract
Energy saving has become a major concern for the developed society of our days. This paper presents a Wireless Sensor and Actuator Network (WSAN) designed to provide support to an automatic intelligent system, based on the Internet of Things (IoT), which enables a responsible consumption of energy. The proposed overall system performs an efficient energetic management of devices, machines and processes, optimizing their operation to achieve a reduction in their overall energy usage at any given time. For this purpose, relevant data is collected from intelligent sensors, which are in-stalled at the required locations, as well as from the energy market through the Internet. This information is analysed to provide knowledge about energy utilization, and to improve efficiency. The system takes autonomous decisions automatically, based on the available information and the specific requirements in each case. The proposed system has been implanted and tested in a food factory. Results show a great optimization of energy efficiency and a substantial improvement on energy and costs savings.
Highlights
The energy challenge is one of the most important issues for today’s society, and governments worldwide have to adopt strategic policies to face it
This paper is structured as follows: Section 2 presents the background in actions for solving the energetic problem, and the main technologies employed for it; Section 3 describes the different hardware and software parts of the proposed system, and their development; preliminary tests and applications are described in Section 4; and the results and analysis of the system performance are discussed in Section 5; the last section presents the most relevant conclusions and future work
Its main functions are: the network establishment and its interconnection with the user node differ in the firmware and in the use they make of the Universal Asynchronous ReceiverTransmitter (UART) interface, apart from the number and type of sensors (Figure 2)
Summary
The energy challenge is one of the most important issues for today’s society, and governments worldwide have to adopt strategic policies to face it These actions involve important economic and structural consequences for daily life and need to be focused in solving problems with the available resources, to achieve a sustainable energetic future. That provides the required support to an advanced management system for electric energy by supplying it with updated and reliable data as well as with a means to convey instructions. This is achieved through the use of a service network, that includes some features of the future unmanned intelligent plants proposed by [6]. This paper is structured as follows: Section 2 presents the background in actions for solving the energetic problem, and the main technologies employed for it; Section 3 describes the different hardware and software parts of the proposed system, and their development; preliminary tests and applications are described in Section 4; and the results and analysis of the system performance are discussed in Section 5; the last section presents the most relevant conclusions and future work
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