Intelligent soot blowing method for heat engine plant boiler

Abstract

The invention relates to an intelligent soot blowing method for a heat engine plant boiler. The intelligent soot blowing method includes the steps that, (1) according to a set soot blowing strategy, a flue soot blowing demand degree rule and a hearth soot blowing demand degree rule are respectively obtained from an established soot blowing degree expert confidence rule base; and (2) operating data of an on-site boiler are obtained, and compared with rule parameters of the flue soot blowing demand degree rule and the hearth soot blowing demand degree rule, further heating surface soot blowing demand degrees of a flue and a hearth are obtained, and a heating surface corresponding to the soot blowing demand degree rule is subjected to soot blowing when the soot blowing demand degree is bigger than a set demand degree. Compared with the prior art, existing timing soot blowing is changed into soot blowing as required through using the intelligent soot blowing method for the heat engine plant boiler, and the heat absorbing distribution conditions of the heating surfaces at all levels are changed; and the heat absorbing proportion of the heating surfaces at all levels is redistributed to maintain the stabilization of temperature, the utilization of micro-attemperation water is reduced and economy is improved.

Description

technical field [0001] The invention relates to a soot blowing method, in particular to an intelligent soot blowing method for a thermal power plant boiler. Background technique [0002] During the pulverized coal combustion process of coal-fired power plant boilers, ash slagging on the heating area is an inevitable problem, and soot blowing is the main way to solve the problem of ash slagging on the heating area. The current optimization method for boiler soot blowing is mainly based on the theoretical basis for calculating the cleaning factor of the heating surface. However, in the actual operation of power plants, coal types are usually mixed, and the coal quality is erratic. The load of the unit needs to be changed randomly to follow the AGC command of the power grid. It is difficult to obtain the actual value of the cleaning factor of the heating surface. As a result, on-site operators cannot accurately grasp the demand for soot blowing in real time, so the existing me...

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Problems solved by technology

However, in the actual operation of power plants, coal types are usually mixed, and the coal quality is erratic. The unit load needs to be changed randomly to follow the AGC command of the power grid. It is difficult to obtain the actual value of the cleaning factor of the heating surface.

As a result, on-site operators cannot accurately grasp the demand for soot blowing in real time, so the existing method generally adopts the method of timing soot blowing, which makes the economical efficiency of boiler operation poor

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