Data analysis method, terminal and device based on Internet of Things and storage medium

Abstract

The embodiment of the invention discloses a data analysis method based on the Internet of Things. The method comprises the steps that a data analysis request sent by Internet of Things equipment is acquired; wherein the data analysis request comprises demand information of the Internet of Things equipment and to-be-analyzed data; an algorithm resource corresponding to the demand information is determined in a preset resource library, the preset resource library comprising at least one algorithm resource, and the algorithm resource being used for representing at least one algorithm for realizing data analysis; an execution resource corresponding to the algorithm resource is created, wherein the execution resource is used for representing a reference mode of the algorithm resource; and the to-be-analyzed data is analyzed according to the execution resources and the algorithm resources. Therefore, the data analysis efficiency of the Internet of Things can be improved. The embodiment of the invention further discloses a terminal, a data analysis device based on the Internet of Things and a storage medium.

Description

technical field [0001] The present invention relates to the Internet of Things technology, in particular to a data analysis method, terminal, device and storage medium based on the Internet of Things. Background technique [0002] With the development of the Internet of Things, the amount of data in the Internet of Things is increasing, and the types of data are becoming more and more abundant. Data analysis based on Internet of Things data can tap the potential value of massive Internet of Things data, thereby bringing considerable benefits to social production. income. Due to the importance of IoT data analysis, IoT data analysis capabilities are valued by many IoT platforms, and IoT platforms are also committed to providing IoT data analysis services for developers. [0003] Currently, there are two main organizational forms of IoT data analysis services: 1) Provide the basic framework and capabilities of data analysis and computing, and users can use the basic framework...

AI Technical Summary

Problems solved by technology

[0004] At present, although the above two data analysis methods adopted by the Internet of Things platform can initially meet the requirements of user data analysis, there are still some problems in these two methods. For example: 1) The degree of automation of real-time processing is not high, and users need to implement real-time automatic analysis of device data and receive push data results. However, there are many such demands in the Internet of Things, especially in the scenario of device linkage, where there is a problem of untimely processing; 2 ) The platform integration is not high. The interface and function realization of these two methods are essentially separated from the IoT platform. The integration is not high, and the existing functions of the platform cannot be fully utilized, and the resource utilization rate is low.

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