Data acquisition and dynamic analysis method and system

Abstract

The invention discloses a data acquisition and dynamic analysis method and system, and the method comprises the following steps: obtaining and analyzing a source socket of data when a data server receives the detection data, uploaded by a data acquisition device, of a plurality of sensors; searching a pre-established'equipment number and socket cache 'mapping table, and acquiring an equipment number corresponding to the source socket of the data; and calling a pre-stored data analysis rule in a database according to the equipment number to analyze and store the detection data of the plurality of sensors. Compared with the prior art, the method has the advantages that the dynamic data analysis of each device is realized, the data acquisition cost is low, the data analysis is intelligent, flexible and dynamic, and the method can be used for data acquisition of the Internet of Things and intelligent processing and storage after the data is uploaded to a platform.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a method and system for data collection and dynamic analysis. Background technique [0002] With the popularization and application of IoT applications, the intelligent perception, networking, processing, coordination, informatization, digitalization and intelligence of IoT front-end hardware are becoming more and more important; the current IoT is penetrating into various industries, such as smart street lights, Environmental quality monitoring on construction sites, smoke detection in parks, temperature and humidity of cold chains, water quality monitoring in aquaculture, lighting in smart agriculture, CO2 concentration control, etc., involve more and more scope and depth. However, the data of each sensor Parsing is different, there are shaping, floating point, and associated calculations. In this case, how to realize low-cost data collection, and how to dynamically analyz...

AI Technical Summary

Problems solved by technology

[0002] With the popularization and application of IoT applications, the intelligent perception, networking, processing, coordination, informatization, digitalization and intelligence of IoT front-end hardware are becoming more and more important; the current IoT is penetrating into various industries, such as smart street lights, Environmental quality monitoring on construction sites, smoke detection in parks, temperature and humidity of cold chains, water quality monitoring in aquaculture, lighting in smart agriculture, CO2 concentration control, etc., involve more and more scope and depth. However, the data of each sensor Parsing is different, there are shaping, floating-point, and associated calculations. In this case, how to realize low-cost data collection, and how to dynamically analyze data after collection, brings challenges to the Internet of Things

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