Special operation site abnormity early warning analysis system and method based on Internet of Things

Abstract

The invention discloses a special opeartion site abnormity early warning analysis system and method based on the Internet of Things, and belongs to the technical field of special work site abnormity early warning, and the system comprises a monitoring data collection module, a monitoring data intelligent analysis module, an abnormal condition alarm information research and judgment module, a site abnormal condition disposal feedback module and a special work database. The monitoring data collection module is used for collecting abnormal condition monitoring data and sending the acquired field monitoring data to the monitoring data intelligent analysis module; the monitoring data intelligent analysis module carries out unified data processing on the collected field monitoring data and sends the processed data to the special operation database; and in combination with the content of the alarm information database, the abnormal condition alarm information research and judgment module associates risk identification, operation analysis, safety measures and on-site operation steps in the operation ticket according to different preset alarm types, alarm information templates and alarm level rules.

Description

technical field [0001] The invention belongs to the technical field of early warning of abnormalities in special operation sites, and specifically relates to an analysis system and method for early warning of abnormalities in special operation sites based on the Internet of Things. Background technique [0002] At present, some special operation monitoring is mainly to analyze the environment before the operation, and some other monitoring of the entire operation process is mainly for the monitoring of the weather, rather than the continuous monitoring of the entire operation process, focusing on the video monitoring of the operation process, There is a lack of monitoring data collection and analysis of the operation process, and the applicable conditions are limited, so it is impossible to give timely alarms for sudden abnormal situations. For the monitoring and management of the operation process, the main method at present is to control the operation process through infor...

AI Technical Summary

Problems solved by technology

The main means of monitoring and early warning of abnormal conditions are mainly to collect and analyze meteorological data during operation through intelligent sensing equipment, and to manage personnel on-the-job through positioning technology. This method does not connect with the company's own system. The occurrence of accidents cannot achieve more convenient human-computer interaction, which reduces the efficiency of handling emergency events

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