Special equipment safety risk management and control big data monitoring system and monitoring method

Abstract

The invention relates to a special equipment safety risk management and control big data monitoring system and monitoring method, belonging to the field of special equipment safety risk monitoring. The system comprises a special equipment safety risk prior evaluation knowledge base system, a risk object real-time sample data collection system, a storage statistical system, a risk probability calculation system, a safety management and control measure knowledge base management system and an analysis result inquiry system. The risk object real-time sample data collection system uploads data to the storage statistical system through a cloud server. The risk probability calculation system carries out real-time big data calculation and analysis on the data of the special equipment safety risk prior evaluation knowledge base system and the storage statistical system. The risk probability calculation system carries out analysis judgment and then calls the safety management and control measureknowledge base management system, and a judgment result and countermeasures are transmitted to the analysis result inquiry system through the cloud server.

Description

technical field [0001] The invention relates to a monitoring system and method for potential safety hazards of special equipment, belonging to the field of monitoring potential safety hazards of special equipment, and in particular to a monitoring system and method for monitoring hidden dangers of special equipment safety based on big data. Background technique [0002] Special equipment refers to boilers, pressure vessels (including gas cylinders), pressure pipelines, elevators, hoisting machinery, passenger ropeways, large amusement facilities, and special motor vehicles in the field (factory) that pose a greater risk to personal and property safety. , because the use safety of special equipment involves the life safety of the general public, therefore, the prediction and real-time monitoring of the weight of potential safety hazards of special equipment, and the real-time tracking and recording of the safety management, testing and operation process of special equipment en...

AI Technical Summary

Problems solved by technology

Its disadvantage is that its universality is poor, and it is limited to the special detection of professional equipment

Its disadvantage is that its universality is poor, and it is limited to the special detection of professional equipment

Its shortcoming is that it does not have the function of hidden danger analysis, and compared with the two-dimensional code method, RFID has higher requirements for equipment, and cannot be applied to general mobile phones and mobile devices without RFID readers

Its disadvantage is that this method is limited to checking the authenticity of the security personnel

Its shortcoming is that this method is a kind of monitoring for special facilities, and lacks specific hidden danger analysis methods

Its disadvantage is that this method lacks a specific hidden danger analysis method

Its shortcoming is that this method lacks a hidden danger analysis method, and at the same time adopts the RFID method, which is not universal for mobile devices such as mobile phones without RFID readers.

Its disadvantage is that the method is limited to specific detection methods of specific devices

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