Multi-data-source information collection system and method based on Internet of Things

Abstract

The invention provides a multi-data-source information collection system based on the Internet of Things, which is applied to multi-data-source collection of a distributed embedded system and comprises at least one host and at least one slave, the slave machine collects the data signal and sends a data packet to the outside; the host receives the data packets of all the slaves and collects data signals locally, the host splices the data packets of the slaves and local data of the host into a composite data packet, and the host sends the composite data packet to the outside; and the cloud server storage module carries out subpackage storage on the received composite data packets according to the sequence of the timestamps, so that remote data observation and real-time sharing of the distributed embedded system are realized.

Description

technical field [0001] The invention relates to the field of information collection, in particular to a distributed embedded system-based multi-data source information collection system of the Internet of Things and a method thereof. Background technique [0002] At present, most signal acquisition modules in the embedded field are designed for single-board cards, and the collected signals are mostly used for internal logic judgment of the board. However, with the development of big data technology in the Internet of Things, the connection between smart device terminals is getting closer and closer. Sometimes a complex networking system is required to complete the overall work of the system. Signal collection is not limited to the internal use of the board. Remote real-time monitoring of signals and query of historical records have become new requirements. [0003] The single-board signal acquisition module lacks a real-time tracking and feedback system for the status infor...

AI Technical Summary

Problems solved by technology

[0003]The single-board signal acquisition module lacks a real-time tracking and feedback system for the status information of the board sensor, and lacks a comprehensive system in terms of signal acquisition performance evaluation and status awareness information structure

And at present, there are few researches on information network collection based on the Internet of Things.

Single-board signal acquisition cannot be applied to the application scenario of multi-point distributed acquisition, and complex networking of acquisition units cannot be performed, so that the degree of information interconnection and intelligence of the current information acquisition system needs to be improved

[0004]The existing information collection system lacks the support of the big data technology of the Internet of Things, and the demand for interaction between information data and cloud servers, data storage and query, etc. is increasing day by day

Moreover, the current information dissemination system lacks performance optimization in terms of signal quality interference and packet loss rate

When the environmental signal quality is poor and disconnected from the server, you can only connect to the server again by powering on again, and cannot automatically re-establish a connection with the server

When some data packets are not released successfully due to noise interference, the data packets will be lost, and it is difficult to ensure the integrity of information data

[0005] Therefore, how to propose a multi-data source information acquisition system and method based on the Internet of Things, and at the same time, the acquisition system and its acquisition method can effectively make up for the existing technology The existing problems only focus on the information collection of traditional single-board cards, and can make up for the deficiencies of existing technologies in the interconnection and intercommunication of intelligent terminals, real-time data monitoring and data storage, and there are still huge difficulties

Images