Home equipment operation monitoring system based on Internet of Things (IOT)

Abstract

An embodiment of the invention provides a home equipment operation monitoring system based on Internet of Things (IOT). The home equipment operation monitoring system comprises home equipment and a home monitoring center. The home equipment comprises an equipment body, a monitoring module and a communication module. The monitoring module monitors the operation condition of the equipment body and acquires and transmits monitoring data through the communication module to the home monitoring center. The home equipment operation monitoring system provided by the embodiment of the invention can monitor and record the operation condition of the home equipment, form a monitoring report, assist a user in understanding the service condition of the home equipment and give out an alarm when the home equipment fails.

Description

technical field [0001] The invention relates to the field of Internet of Things control, in particular to a home appliance operation monitoring system based on the Internet of Things. Background technique [0002] The practice of Internet of Things technology can be traced back to Xerox's Internet Coke vending machine in 1990. With the development of Internet technology and the great enrichment of various hardware and application software, Internet of Things technology has also been greatly developed. The Internet of Things is regarded as the application expansion of the Internet. The essence of the Internet of Things is mainly reflected in three aspects: one is the characteristics of the Internet, that is, the interconnected Internet must be able to realize the interconnection of things that need to be connected to the Internet; the other is the identification and communication characteristics , that is, the "things" included in the Internet of Things must have the function...

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Problems solved by technology

[0006] On the other hand, for operators, after the electricity, water, gas and other services provided to users, they can only know the monthly usage quantity of users, but they cannot know the structural data used by users. For example, power operators, For a certain period of time, it was found that the power consumption in a certain area increased sharply, but it was not clear whether the power consumption was regular or temporary, so it was impossible to accurately allocate power distribution, which may cause some areas that need power to be delayed. Therefore, from the perspective of operators, it is also urgent to understand the types and details of users' power consumption, distribution and trends of power consumption, so as to provide reasonable Power distribution schemes, and even provide customized push services, etc. This situation also exists in water and gas supply operators

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