On-line monitoring and diagnosis method of annealing furnace in cold-rolled hot-dip galvanizing unit

Abstract

The invention discloses an online monitoring and diagnosis method for an annealing furnace of a cold-rolled hot-dip galvanizing unit. The method collects the hydrogen content H of each process section of the annealing furnace in real time. 2 , oxygen content O 2 , furnace pressure P a , The dew point DP of the furnace atmosphere and the process parameters of the plate temperature furnace temperature difference SF are stored; the cooling water flow rate of the annealing furnace roller is collected by the flow switch sensor set on the bearing seat of the furnace roller of the annealing furnace for monitoring the cooling water of the furnace roller. According to this, the working state of the water cooling system is determined; the standard values ​​of each process parameter are set, and the process parameters collected in real time are compared with the standard values, so as to make a corresponding determination of the state of the annealing furnace. The method collects the process parameters of the annealing furnace and the state data of the equipment itself, and establishes the judgment standard after screening, realizes the online monitoring and real-time early warning of the state of the annealing furnace, and ensures the normal operation of the annealing furnace and the quality of the cold-rolled products.

Description

technical field [0001] The invention relates to an on-line monitoring and diagnosis method for an annealing furnace of a cold-rolled hot-dip galvanizing unit. Background technique [0002] The annealing furnace is the key equipment for the production of cold-rolled hot-dip galvanizing units, and it is also the key technological process of the quality of cold-rolled products. According to the typical process flow of the annealing furnace, the annealing furnace roughly includes a preheating section, a heating section, a soaking section, a fast cooling section, an equalization section and a furnace nose section. Each process section of the annealing furnace has a large number of process parameters related to product quality. The furnace also has a large amount of process data related to the state of the equipment itself. Most of these data are currently isolated, that is to say, a large amount of information of the annealing furnace is scattered in the field discrete control sy...

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Problems solved by technology

[0003] Taking the cold-rolling and hot-dip galvanizing unit of a certain factory as an example, there have been many major quality accidents such as exposed iron in history, as well as many major equipment failures, such as safety hazards caused by burning of the combustion system, major quality defects caused by water leakage in the water-cooling system, etc.

The current practice is only to trace historical data to find change points after serious consequences have occurred. Although the annealing furnace management platform uses manual methods to analyze and collect trend data every month, due to the large amount of collected data and lack of trend analysis Comprehensiveness, etc., resulting in the failure to detect the deterioration of some process parameters and the state data of the equipment itself, and the actual effect of post-event analysis is very poor

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