Monitoring data intelligent acquisition and analysis method based on Internet of Things technology

Abstract

The invention discloses an intelligent monitoring data acquisition and analysis method based on an Internet of Things technology, which comprises the following steps of: acquiring two types of information, namely equipment alarm information and influence factor information, comparing the equipment alarm information with the influence factor information after performing exception processing on the equipment alarm information, and adjusting an alarm threshold valuethrough the influence factor information, and eliminating false alarm information . By means of the method, the intelligent monitoring data collecting and analyzing method based on the Internet of Things technology is wide in applicability, high in processing speed and good in accuracy.

Description

technical field [0001] The invention belongs to the field of Internet of Things for fire protection, and in particular relates to an intelligent collection and analysis method of monitoring data based on Internet of Things technology. Background technique [0002] The data collection and dynamic display platform of the existing domestic fire protection IoT data collection and monitoring data are generally collected in real time through automation equipment. In the process of facility monitoring data collection, it is easy to cause false alarms due to data quality problems. The existing data collection and processing methods for fire early warning of fire remote monitoring equipment mainly focus on two aspects: one is to verify the integrity of the data according to the data protocol standard, to verify the accuracy of the data through data processing, and to fill in the gaps according to the data protocols of various manufacturers. The filled data protocol standards are sum...

AI Technical Summary

Problems solved by technology

[0003] 1. There are many data protocols and versions involved in fire-fighting Internet of Things monitoring equipment, which cannot be unified; resulting in data processing nodes needing to be manually triggered, which cannot be automated

Multi-protocol real-time alarm data has not achieved data integration

[0004] 2. In the data processing link, it is impossible to implement a unified algorithm for data processing for abnormal data processing, the data processing link is cumbersome, and the timeliness cannot be guaranteed

[0005] 3. The data collection of fire water and electricity monitoring equipment is completely dependent on the standard threshold, and the implementation of data resource pool based on big data and dynamic prediction and early warning combined with environmental and historical key data have not been realized

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