Performance monitoring and fault early warning method and system in initial operation stage of integrated energy system

Abstract

The invention relates to a performance monitoring and fault early warning method and system in the initial operation stage of an integrated energy system, and the method comprises the steps: S1, selecting monitoring parameters, obtaining historical data, and carrying out the preprocessing of the historical data; S2, training a neural network for monitoring parameter prediction based on historical data; S3, acquiring monitoring parameters online in real time, inputting the monitoring parameters into the neural network model to obtain a monitoring parameter prediction operation curve, and drawing a monitoring parameter real-time acquisition curve based on the monitoring parameters acquired in real time; S4, visually displaying the monitoring parameter real-time acquisition curve and the monitoring parameter prediction operation curve; S5, taking the monitoring parameter prediction operation curve as a reference, comparing the monitoring parameter prediction operation curve with data in the monitoring parameter real-time acquisition curve, and performing fault early warning when the monitoring parameter deviation exceeds a set value. Compared with the prior art, the method can find potential faults in the initial operation stage of the system, avoids fault expansion, and improves the economic benefits and working efficiency of enterprises.

Description

technical field [0001] The invention relates to the technical field of integrated energy, in particular to a performance monitoring and fault early warning method and system for an integrated energy system in the initial stage of operation. Background technique [0002] The structure of the comprehensive energy system is complex, and the equipment is closely connected, and the components of each equipment "moves the whole body". When a device or a component fails, it will affect the operation of a single device and then affect the operation of the entire system. Once the potential risks in the operation of the device are not monitored in time, the problem will cause great safety problems after the outbreak. Once a fault occurs, the unit equipment will collapse and even affect the safety of the entire energy supply system, so it has to be shut down for maintenance. The maintenance time will bring a lot of power loss and reduce the economic benefits of the system. On the one h...

AI Technical Summary

Problems solved by technology

When a device or a component fails, it will affect the operation of a single device and then affect the operation of the entire system. Once the potential risks in the operation of the device are not monitored in time, the problem will cause great safety problems after the outbreak

Once a fault occurs, the unit equipment will collapse and even affect the safety of the entire energy supply system, so it has to be shut down for maintenance. The maintenance time will bring a lot of power loss and reduce the economic benefits of the system. On the one hand, it disrupts the initial task arrangement, and on the other hand On the other hand, downtime for maintenance greatly increases operating costs

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