Power station safety monitoring system

Abstract

The invention provides a power station safety monitoring system, which comprises a first acquisition module, a second acquisition module, a first analysis module and a second analysis module, and is characterized in that the first acquisition module is used for acquiring power station safety case data; the first analysis module is used for analyzing historical power station monitoring data in the power station safety case data, extracting hidden danger factors, taking the hidden danger factors and corresponding accident types as input of a neural network model, and pre-training the neural network model; the second acquisition module is used for acquiring real-time power station monitoring data; and the second analysis module is used for processing the real-time power station monitoring data by using the pre-trained neural network to obtain potential safety hazard information, and generating a potential safety hazard elimination strategy according to the potential safety hazard information. The system can analyze possible potential safety hazards according to some real-time monitoring data which are not directly associated with safety accidents and generate corresponding potential hazard elimination strategies to assist workers in quick troubleshooting and elimination of the potential safety hazards, so that stable operation of a power station is guaranteed.

Description

technical field [0001] The invention relates to the technical field of power station management systems, in particular to a power station safety monitoring system. Background technique [0002] With the construction and development of smart power stations, higher requirements are put forward for safety control in different stages of construction, operation and maintenance of power stations. At present, most power plants have installed various on-site monitoring systems, but these systems usually only focus on data directly related to power plant operation, such as the operating status of power plant equipment, and send out alarms when abnormal data are detected, that is, such systems can only When a fault occurs, an alarm is issued, and some data that reflect the existence of safety hazards that may lead to faults or accidents are ignored. For example, continuous heavy rain in the upstream may cause the water level of the reservoir of the downstream power station to rise and...

AI Technical Summary

Problems solved by technology

At present, most power plants have installed various on-site monitoring systems, but these systems usually only focus on data directly related to power plant operation, such as the operating status of power plant equipment, and send out alarms when abnormal data are detected, that is, such systems can only When a fault occurs, an alarm is issued, and some data that reflect the existence of safety hazards that may lead to faults or accidents are ignored. For example, continuous heavy rain in the upstream may cause the water level of the reservoir of the downstream power station to rise and the pressure of the water storage to increase, which may lead to dam failure.

The existing power station safety monitoring system cannot analyze possible safety hazards based on the obtained monitoring data, resulting in safety hazards that may further develop into failures or accidents, seriously threatening the smooth operation of the power station

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