Coal mill state early warning system and fault identification and diagnosis method

Abstract

The invention provides a coal mill state early warning system and a fault identification and diagnosis method. The coal mill state early warning system comprises a unit alarm module, an equipment monitoring module, an equipment management module, a data model management module and a data search module, the unit alarm module is used for displaying unit information; the equipment monitoring module displays real-time and historical operation conditions of the coal pulverizing system in the form of a process flow diagram of the coal pulverizing system, and displays alarm states, alarm durations, alarm types, alarm levels and alarm times of the coal pulverizing system and subordinate equipment of the coal pulverizing system in the form of an equipment tree; the equipment management module is used for maintaining an equipment tree of the unit; carrying out ledger maintenance on each level of equipment; the system can monitor equipment abnormity, early warn equipment hidden dangers, avoid continuous deterioration of the equipment state, and enhance the safety of the equipment. And a knowledge accumulation iteration mechanism is established, experience inheritance and innovation are promoted, the workload of personnel is reduced, and the working efficiency is improved. And closed-loop management from early warning of the equipment defect to processing of the equipment defect is realized.

Description

technical field [0001] The invention relates to the technical field of power plants, in particular to a coal mill state early warning system and a fault identification and diagnosis method. Background technique [0002] A coal mill is a machine that breaks coal and grinds it into coal powder. The coal mill is an important auxiliary equipment for a pulverized coal furnace. The coal mill is also an important part in the power plant. The stability of the coal mill operation is related to the operation stability and work efficiency of the power plant. [0003] At present, there is no effective early warning for the coal mill and its corresponding system. If there is an abnormality, it will easily cause the equipment status to deteriorate continuously and affect the safety of the equipment. The existing technology lacks the monitoring of equipment defects from the perspective of early warning, and even if there is fault data monitoring, it cannot be effectively analyzed in combi...

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Problems solved by technology

[0003] At present, there is no effective early warning for the coal mill and its corresponding system. If there is an abnormality, it will easily cause the equipment to deteriorate continuously and affect the safety of the equipment.

The existing technology lacks the monitoring of equipment defects from the perspective of early warning, and even if there is fault data monitoring, it cannot be effectively analyzed in combination with historical data, and the closed-loop management of equipment defects cannot be realized. make predictions

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