Internet of Things perception method and system based on article consumption and compositional variation

Abstract

The invention discloses an Internet of Things perception method and system based on article consumption and compositional variation. The Internet of Things perception method based on article consumption and compositional variation includes: obtaining and storing measurement data of a plurality of measuring points of a single article or a plurality of articles according to a preset time interval, comparing measurement data of current time with previous measurement data, and storing the current time and a variation value; judging whether article consumption achieves predetermined triggering conditions according to a variation value of the weight or a variation value of the volume of the single article; judging whether article components vary according to a variation value of the density or a variation value of a spectrum of the single article; and calculating a variation of the number of articles according to a variation value of the weight of the plurality of articles or a shielding situation of each article and judging whether the variation of the number of the articles achieves the predetermined triggering conditions.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to an Internet of Things sensing method and system based on item consumption and composition changes. Background technique [0002] The Internet of things (The Internet of things) is an important part of the new generation of information technology. Simply put, the Internet of Things is the Internet that connects things. The core and foundation of the Internet of Things is still the Internet, which is an extension and expansion of the Internet. The network, its client end is extended and extended to any item and item for information exchange and communication. The Internet of Things is widely used in the integration of networks through intelligent perception, identification technology and pervasive computing, and is therefore called the third wave of the development of the world's information industry after computers and the Internet. [0003] From a technical point ...

AI Technical Summary

Problems solved by technology

[0007] Using the existing perception technology based on recognition and positioning, it can only perceive the identity of the object, the position and motion state of the object, but cannot solve the changes that occur in a single or multiple perceived objects themselves; Adding corresponding transmitting and receiving devices, labels and sensor devices to the inside or outside of the sensor may change or even destroy the structure or composition of the original perceived object, and it is difficult to transform the original perceived object; the existing sensing technology requires scanning, Approaching or moving to realize the perception of the corresponding situation requires the active participation of people or operating equipment, and it is impossible to achieve complete passive monitoring and complete automation; the existing recognition technology has problems with recognition rate and recognition accuracy, and the recognition rate and recognition accuracy have a great impact on the perception results. There is a relatively large degree of influence; the existing sensing technology is relatively complex due to the physical quantity and physical principle of identification or detection, and the sensing system for identification or positioning is also very complicated, so the cost is high and the continuous use effect is relatively high

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