| At present,my country is accelerating its entry into the digital age.The development of digitalization and digital economy will bring changes to traditional industries.The government is also working to improve the country’s digital governance capabilities.In the power industry,State Grid has put forward the concept of ubiquitous power Internet of Things in recent years,which will create an efficient and convenient intelligent service system.At the same time,with the rapid development of AIoT,the combination of AIoT and the traditional power industry will further improve the level of digitalization and intelligence of the power system.In recent years,the performance of terminal equipment has been continuously improved,and the amount of equipment data has gradually increased.Data processing under big data has become a problem worth considering.In traditional power systems,under different application scenarios,Data collection is often relatively simple,inefficient and low in intelligence,which cannot meet the growing application needs.Aiming at the above problems,this paper designs a Big Data Architecture for Power AI Internet of Things.The architecture takes the algorithm of the terminal device as the core,and designs the software and hardware architecture of the system according to the algorithm requirements,which improves the compatibility and scalability of the terminal device in the power system.Aiming at the differences in the main control platform,communication protocol,and required data queue of terminal devices in multiple scenarios,a set of embedded software architecture for big data edge computing is designed and implemented.This architecture provides edge computing services for core algorithms and can be compatible with a variety of common communication protocols.For different application scenarios in the power system,the sensor types,communication interfaces,processor platforms and control methods used by the equipment are different.A flexible and deployable hardware architecture suitable for applications at different levels of the power system is designed and implemented.The architecture uses module separation technology and unifies sensor interfaces to provide a reliable and stable hardware operating environment for the above embedded software architecture,which can serve different application scenarios of power systems.The big data-oriented power intelligent IoT terminal designed in this paper has been put into practical application.At present,the IoT system based on this design plays a good role in energy saving of indoor equipment,environmental monitoring of electric wells,and identification of behavioral power consumption.It plays a good role in energy saving,and has found many hidden dangers in indoor safe electricity consumption,which has been affirmed by users,thus illustrating the application value of the design. |