Smart Grid Using Internet of Things

The IoT (internet of things) is a network of people and stuff at any moment, anytime, for anyone, with any network or service. IoT is therefore a major complex worldwide network backbone for online service providers. The smart grid (SG) is one of IoT's main applications. SG is an interconnected data exchange network that gathers and analyzes data obtained from transmission lines, generation stations, and customers through the power grid. The internet of things has risen as the basis of creativity for energy grids. The chapter is based on the idea that, if one grid station transmitting electricity to customers is cut off due to some defects of IoT-based systems, all grid station loads can be connected to another system so that power is not disrupted. The authors discuss the IoT and SG and their relationship in this chapter. The best advantages for SG and specifications can be addressed in the SG works, creative innovations using IoT in SG, IoT software, and facilities in SG.

Study on Equipment Quality Monitoring Information Transmission System Based on BeiDou Navigation Satellite System Short Message Communication

Because the equipment management of wide geographic distribution and it is difficult to obtain real-time equipment quality status for the equipment management system. The system built a quality monitoring and management system of distributed equipment, formed the command and data exchange network based on Beidou satellite system, achieved the timely transmission of information quality monitoring equipment, accurated grasp equipment status, realized the equipment safeguard informatization, accurated security provides the means to support.

ACTIVE INFORMATION GATHERING IN INFOSLEUTHTM

InfoSleuth is an agent-based system that can be configured to perform many different information management activities in a distributed environment. InfoSleuthTM agents provide a number of complex query services that require resolving ontology-based queries over dynamically changing, distributed, heterogeneous resources. These include distributed query processing, location-independent single-resource updates, event and information monitoring, statistical or inferential data analysis, and trend discovery in complex event streams. It has been used in numerous applications, including the Environmental Data Exchange Network and the Competitive Intelligence System.