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Development of Intelligent Integrated Energy System Based on MVC

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Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13339))

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Abstract

In order to adapt to the country’s internal and external situations and the development needs of comprehensive energy service business, follow the unified national informatization plan, extensively apply the “big cloud and move intelligence” technology, and use three years to build a customer-side energy control system (CPS) based, With shared services as the core, flexible micro-applications as the means, with “comprehensive monitoring of social energy use, intelligent and efficient energy use, adjustable and controllable flexible load, coordinated interaction between source, network and load, intelligent and convenient customer service, and flexible and agile architecture. The six-character integrated energy system fully responds to the development of energy service and integrated energy service business and the implementation of the customer-side power Internet of Things strategy, standardizes the business function specifications and business scenarios of the energy platform, and unifies the design of energy business application systems and electricity consumption information The application function integration of information systems such as acquisition system, power trading system, power grid dispatching control system, power grid GIS platform, etc., deepen the application of power Internet of Things in the customer-side integrated energy service, and provide support for the development of integrated energy service business. This article is based on the MVC architecture. The design of an intelligent integrated energy system provides a basis for the design, development, deployment and implementation of the energy system, and it is of great significance to guide the construction of the energy system.

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Zhang, B. et al. (2022). Development of Intelligent Integrated Energy System Based on MVC. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13339. Springer, Cham. https://doi.org/10.1007/978-3-031-06788-4_25

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  • DOI: https://doi.org/10.1007/978-3-031-06788-4_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06787-7

  • Online ISBN: 978-3-031-06788-4

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