Method for directly accessing hardware data into a big data platform

Abstract

The invention discloses a method for directly accessing hardware data into a big data platform. The method comprises the following steps: acquiring hardware equipment data and sending the data to an Internet of Things computing gateway; performing edge computing on the acquired data by The Internet of Things computing gateway, compressing the high-frequency repeated data according to change conditions, and performing computing to obtain prediction and alarm data; Data after edge calculation and prediction and alarm data are submitted to a big data warehouse of a distributed architecture, and achieving real-time warehousing of the collected data. The Internet of Things computing gateway based on the ARM architecture has the advantages that the overall architecture of the Internet of Thingscomputing gateway based on the ARM architecture for compressing and computing the front-end acquired data reduces the dependence on a cloud server, reduces the expenditure of the server, and is quickin response and high in reliability. According to the method, multi-dimensional information prediction based on artificial intelligence and deployment of the distributed bins are realized in a front-end severe environment, and the problems that a computer based on an X86 architecture cannot meet the front-end severe environment and a computing queue is too long, prediction cannot be performed in time and the bins cannot be distributed discretely due to centralized computing of a server are solved.

Description

technical field [0001] The invention relates to the technical field of industrial internet of things under big data, in particular to a method for directly connecting the underlying sensors and controller hardware data involved in smart cities to a big data platform. Background technique [0002] The Internet of Things is a network of connected objects that connects objects to the Internet according to agreed protocols for information exchange and communication through information sensing devices to achieve intelligent identification, positioning, tracking, monitoring, and management. [0003] With the development needs of smart cities, how to collect and control millions of hardware devices at the city level requires a complete set of integrated solutions for distributed big data collection nodes and big data collection protocols. [0004] With the development of artificial intelligence technology, combined with the Internet of Things technology, complex predictions of mult...

AI Technical Summary

Problems solved by technology

[0004] With the development of artificial intelligence technology, combined with the Internet of Things technology, complex predictions of multi-dimensional information can be made, but at present, a large amount of data obtained through the Internet of Things needs to be processed and stored by cloud servers, which greatly increases the processing pressure and storage of cloud servers. pressure, the server overhead is huge, and if there is a network failure, it will cause data loss, the system cannot respond in time, and the reliability is poor

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