An agricultural Internet of Things data multi-view projection clustering reconstruction method and system

Abstract

The embodiment of the invention provides an agricultural Internet of Things data multi-view projection clustering reconstruction method and system, and the method comprises the steps of obtaining theperception data sent by the agricultural Internet of Things, and generating a perception matrix according to the perception data; projecting the perception matrix on a time plane, a space plane and aparameter plane to obtain a time plane projection matrix, a space plane projection matrix and a parameter plane projection matrix; respectively clustering the time plane projection matrix, the space plane projection matrix and the parameter plane projection matrix through a preset clustering algorithm to respectively obtain a deviation value of the time plane projection matrix, a deviation value of the space plane projection matrix and a deviation value of the parameter plane projection matrix; and selecting data in the projection matrix with the minimum deviation value as reconstructed data to carry out agricultural Internet of Things data reconstruction. According to the method provided by the embodiment of the invention, through a multi-view projection technology, the execution complexity of a clustering algorithm is reduced, and the efficient and accurate reconstruction of multi-dimensional complex agricultural WSN data is realized.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of the Internet of Things, in particular to a multi-view projection clustering reconstruction method and system for agricultural Internet of Things data. Background technique [0002] The Agricultural Internet of Things is an important data source for perceiving the agricultural environment for agricultural production decision-making management and scientific research. The accuracy and quality of data have an important impact on the results of research and decision-making. Due to the unavoidable failure of software and hardware such as sensors, network links, and collection nodes, problems such as data errors and missing data will reduce the quality of perceived data. The complex and harsh work of the agricultural environment monitoring network, complex channel conditions, and limited energy will increase the probability of failures. Not only that, but with the expansion of the netw...

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Problems solved by technology

[0007] The embodiment of the present invention provides a method and system for multi-view projection clustering reconstruction of agricultural Internet of Things data, which is used to solve the complex and harsh working environment of the agricultural Internet of Things in the prior art, and failures of sensors, node software and hardware, and communication links will all occur. Problems causing missing or abnormal IoT data

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