Omnibearing integrated coordination online monitoring system for hydro-power generating unit

Abstract

The invention relates to an omnibearing integrated coordination online monitoring system for a hydro-power generating unit, which comprises a comprehensive unit, a control unit, a mechanical unit, an electrical unit and the like, wherein each monitoring unit is integrated into an organic unit monitoring group with an intelligent team technology, and the monitoring units achieve the omnibearing integrated coordination monitoring on the hydro-power generating unit through real-time interaction, information sharing and behavior coordination. The system achieves the omnibearing monitoring of the hydraulic, mechanical, electrical, control and auxiliary equipment and the like of the hydro-power generating unit, organically fuses the unit state data with multiple sources, multiple time scales and heterogeneous structures through the technologies of synchronization of operating conditions, synchronization of abnormal events and the like, and associates the operating condition events with the abnormal event information and the real-time signal characteristic recognition technology so as to selectively and intelligently store the state data. The system has the advantages of omnibearing operation, integration, behavior coordination, high reliability and the like.

Description

technical field [0001] The invention relates to an on-line monitoring system, in particular to an all-round integrated collaborative on-line monitoring system for hydropower units and a method for using it, belonging to the field of on-line monitoring. Background technique [0002] Since the 1990s, "condition-based maintenance" aimed at improving the operational reliability and economic benefits of hydropower units has become the focus of research. The hydroelectric unit condition monitoring system was put into industrial application. These systems can be classified into two categories: one is a special monitoring device, which monitors a certain (category) status of a hydroelectric generator set or a certain equipment, such as the generator air gap monitoring system (AGMS) of VibroSystM in Canada, The Portable Partial Discharge Monitor (PDA) of Canada IRIS Company, the vibration monitoring system of HSJ unit of Huazhong University of Science and Technology, etc. The other...

AI Technical Summary

Problems solved by technology

Although some systems claim to have the ability to realize full-state monitoring, none of them have achieved it. Generally, there is no monitoring of control equipment and auxiliary equipment, and these equipment are not only critical to the safety and reliability of the unit, but also have a high failure rate and intensive maintenance ( maintenance intensive) (compared to hosts such as water turbines and generators)

[0005] (2) There is no associated coordination mechanism

In the collective monitoring system, although the monitoring data of each monitoring device can be aggregated after being equipped with GPS time scales for correlation analysis, since each monitoring device collects, stores, and analyzes independently, there is no coordination mechanism between them. The problem that the same event cannot be correlated due to incomplete data when analyzed

[0006] (3) Multi-source integration has not been realized

There are various sources of unit status data: one is the status data collected by the control system, which is divided into microsecond-level protection system data (protection wave recording device, etc.), millisecond-level closed-loop adjustment system data (governor, excitation regulator, etc.) and second-level monitoring system data (monitoring on-site control unit, etc.); the second is the state data collected by each online monitoring device, including nanosecond-level partial discharge data, microsecond-level acoustic wave data, millisecond-level (up to 0.1 Milliseconds) of mechanical state data; the current all-round integrated collaborative online monitoring system of various hydropower units cannot effectively solve the problem of organic fusion of multi-source, multi-scale and heterogeneous state data of units

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