A construction method of building power early warning Internet of things

Abstract

The invention relates to a construction method of a building electric power early-warning Internet-of-things. The Internet-of-things comprises a user platform, a cloud service platform, a non-intruding electric power Internet-of-things meter, and a power consumption load sensor. The construction method comprises the steps of S1, configuring the power consumption load sensor to the inlet end of thetotal power distribution box of a power consumption load; S2, acquiring a load power consumption signal which is acquired by the power consumption load sensor and generating the operation record of the power consumption load by the non-intruding electric power Internet-of-things meter; and S3, acquiring the operation record of the power consumption load by the cloud service platform and performing power consumption abnormal trend or fault trend analysis, and if the power consumption load has the power consumption abnormal trend or fault trend, transmitting to the user platform for performingvisual displaying. Simple construction of the Internet-of-things is realized. Not only can identification and alarming to abnormities and faults of the power consumption load for a local building through the non-intruding electric power Internet-of-things realized, but also big data abnormity and fault trend identification and analysis can be set through the cloud service platform.

Description

technical field [0001] The invention relates to a method for constructing the Internet of Things, in particular to a method for constructing the Internet of Things for early warning of building power. Background technique [0002] Building electrical loads will involve a variety of important electrical equipment, including: building central air-conditioning, water supply and drainage electric pump systems, ventilation systems, residential elevators and cargo elevator systems, general access electric doors, large vacuum cleaners, central kitchen electrical equipment and Its meat grinder, large oven, mixing equipment, etc., the risks brought by the failure of building electrical loads are related to daily production and life. For example: elevator failure is related to personal safety; general failures such as total access electric door failure and kitchen equipment failure will also affect the normal progress of life and work. With the development of society, in order to imp...

AI Technical Summary

Problems solved by technology

In the prior art, although some systems and methods for predicting building electrical load failures have been proposed; however, related technical difficulties have also emerged, that is, with the continuous improvement of the quality of life, the number of quasi-categories of electrical equipment has increased

In the prior art, there is still a lack of a big data mathematical modeling processing method that is both verified and suitable for early warning of building electrical load faults, and an Internet of Things prediction and monitoring system with this big data mathematical modeling processing method

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