Abstract
With the advancement of national policies and the rise of Internet of things (IoT) technology, smart meters, smart home appliances, and other energy monitoring systems continue to appear, but due to the fixed application scenarios, it is difficult to apply to different equipment monitoring. At the same time, the limited computing resources of sensing devices make it difficult to guarantee the security in the transmission process. In order to help users better understand the energy consumption of different devices in different scenarios, we designed a nonintrusive load management based on distributed edge and secure key agreement, which uses narrowband Internet of things (NB‐IoT) for transmission and uses edge devices to forward node data to provide real‐time power monitoring for users. At the same time, we measured the changes of server power under different behaviors to prepare for further analysis of the relationship between server operating state and energy consumption.
Highlights
In the new era, the Internet has fundamentally changed social life, and people’s demand for the Internet is increasing
The Internet of things (IoT) can be regarded as the extension of the Internet, that is, the Internet extends its tentacles to the field of embedded computer systems and their supporting sensors, connecting all objects to the network through information sensing devices such as QR codes, radio frequency identification, and sensors, so as to transmit information, so as to form a worldwide interconnected mode to realize automatic identification, precise positioning, real-time tracking, and timely management [1]
After the second part introduces the related technology of the energy management system, we introduce the design of the secure energy management system in the third part
Summary
The Internet has fundamentally changed social life, and people’s demand for the Internet is increasing. The energy management and control system based on IoT mainly uses wireless transmission mode. The IoT can be divided into sensing layer composed of sensors and other sensing devices, network layer responsible for data transmission, and application layer for visual display. Due to the variety of sensors in the sensing layer and the complexity of data format, it is difficult to completely unify, so the security control of network layer transmission is more complex [10]. We designed a nonintrusive load management based on distributed edge and secure key agreement to provide real-time power monitoring for users. We designed a lightweight encryption authentication algorithm between cloud edge devices to maintain the cloud server’s receiving of sensor data and ensure the operation security of the energy management system. We summarize our nonintrusive load management based on distributed edge and secure key agreement
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